Research Unit

Research Unit Computational Sustainability

E191-05
A research unit of the Institute of Computer Engineering

Research focus of the research unit addresses high-performance and energy-efficient computing, cloud and edge computing, hybrid classical-quantum systems, and workflow technologies.

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Sustainability

New Doctoral College: Computational Sustainability

2025-10-30
Doctoral School

We’re excited to announce the launch of the new Doctoral College “Computational Sustainability” together with Johannes Kepler University Linz!

Award

WWTF Funding Fever!

2025-10-03
Excellence

We are excited to announce that 10 projects from the ICT-call 2025 by the WWTF have been selected for funding!

About

Research focus of the research unit addresses high-performance and energy-efficient computing, cloud and edge computing, hybrid classical-quantum systems, and workflow technologies.

Key topics include:

Cloud and Edge Computing: Developing methods for resource management, quality of service (QoS), and sustainability in distributed computing environments, including federated and self-manageable cloud infrastructures.
Sustainable Computing: Utilizing AI and machine learning for environmental monitoring, energy management, and sustainability
Hybrid Classical-Quantum Systems: Exploring integration and workflow management between quantum and classical computing systems to enable next-generation non von-Neumann scientific applications.
Energy Efficiency: Designing algorithms and frameworks for energy-aware computing, especially in large-scale, distributed, and volatile environments such as edge and IoT systems.
Symbolic and Machine Learning on the Edge: Efficient machine learning workflows for edge devices, including time series classification and adaptive symbolic representation.

Professors

Ivona Brandic I. Brandic

Head of Research Unit
Univ.Prof.in Mag.a Dr.in

Scientific Staff

Administrative Staff

Isabella Steinocher I. Steinocher

Office Services
Mag.a

Matthias Weiss M. Weiss

IT Services
BSc BSc

Student Staff

Matthias Gruber M. Gruber

Student Staff
BSc

Courses

Summer 2026

Data-intensive Computing / 194.048 VU
Interdisciplinary Project in Data Science / 194.147 PR
Projektarbeit QIST / 194.203 PR
Research Seminar for Ph.D. Students / 188.423 SE
Seminar for Master Students in Software Engineering (Computer Engineering) / 180.011 SE

Winter 2025

Bachelor Thesis Computer Science and Business Informatics / 191.025 PR
Hybrid Quantum - Classical Systems / 191.023 VU
Interdisciplinary Project in Data Science / 194.147 PR
Introduction to Computational Sustainability / 191.021 VU
Project in Computer Science 1 / 191.008 PR
Project in Computer Science 2 / 191.009 PR
Projektarbeit QIST / 194.203 PR
Propädeutikum für Informatik / 180.771 VU
Quantum Information Science and Technology Seminar / 194.204 SE
Seminar for PhD Students / 191.027 SE
Seminar in Computer Science (Computational Sustainability) / 191.028 SE
Sustainability in Computer Science / 194.155 VU

Projects

QAE: Quantum Algorithm Engineering
2026 – 2029 / Austrian Research Promotion Agency (FFG)
ALPAQA: Advancing learning paradigms for photonic quantum processors
2026 – 2028 / Vienna Science and Technology Fund (WWTF)
HoloWaterAI: AI-supported Holographic Environmental Water Monitoring
2025 – 2028 / Vienna Science and Technology Fund (WWTF) / Website
DC Digi Twin 2.0: Optimierung der Energieeffizienz im IT-Betrieb von WienIT durch datengetriebene Ansätze & explorative Forschung 2.0
2025 – 2026 / WienIT GmbH
Themis FWF: Themis - Trustworthy and Sustainable Code Offloading
2024 – 2027 / Austrian Science Fund (FWF) / Publications (14)
Virtual Shepherd
2024 – 2026 / Austrian Research Promotion Agency (FFG) / Publications (6)
DC Digi Twin: Optimierung der Energieeffizienz im IT-Betrieb von WienIT durch datengetriebene Ansätze & explorative Forschung
2024 – 2025 / WienIT GmbH
LoRaWAN: LoRaWAN Agricultural Testbench
2024 / Styrian provincial government & Science and Research
TRITON FWF: Transprecise Edge Computing
2023 – 2027 / Austrian Science Fund (FWF) / Publications (19)
HPQC: High-Performance integrated Quantum Computing
2023 – 2025 / Austrian Research Promotion Agency (FFG) / Publications (11)
HPQC: High‐Performance integrated Quantum Computing
2022 – 2025 / Austrian Research Promotion Agency (FFG) / Website / Publications (5)
SWAIN: Sustainable Watershed Management Through IoT-Driven AI
2021 – 2024 / Austrian Science Fund (FWF) / Publications (7)
Intrasafed 5G: Increasing Traffic Safety with Edge and 5G
2020 – 2021 / Stadt Wien / Publication
STARCloud
2019 – 2021 / European Commission
Empowered Edge WIFI: Empowered Edge
2019 – 2020 / Wirtschaftsförderungsinstitut
GraDAna: Improving Innovation and Entrepreneurship Competencies of Iranian Higher Education Graduates through Data Analytics
2017 – 2019 / European Commission
RUCON: Runtime Control on Multi Clouds
2016 – 2023 / Austrian Science Fund (FWF) / Publications (11)
FoSII: Foundations of Self-governing ICT Infrastructures
2009 – 2012 / Vienna Science and Technology Fund (WWTF) / Publications (59)

Publications

2026

Ahmad, S., Schneidergruber, T., Brandic, I., Scholz, J. (2026). On-Device Federated Learning for Remote Alpine Livestock Monitoring. In W. E. Nagel, D. Goehringer, P. C. Diniz (Eds.), Euro-Par 2025: Parallel Processing : 31st European Conference on Parallel and Distributed Processing, Dresden, Germany, August 25–29, 2025, Proceedings, Part II (pp. 365–379). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-99857-7_26

2025

Kanatbekova, M., De Maio, V., Brandic, I. (2025). Qubit-Efficient QUBO Formulation for Constrained Optimization Problems. arXiv.
DOI: 10.48550/arXiv.2509.08080
Thain, D., Nabrzyski, J., Brandic, I., Wisniewski, R. (Eds.). (2025). HPDC ’25: Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery. Peer-reviewed.
DOI: 10.1145/3731545
Zilk, F., Tundo, A., De Maio, V., Brandic, I. (2025). Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes. In 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece. IEEE. Peer-reviewed.
DOI: 10.1109/ISVLSI65124.2025.11130327 / Projects: HPQC, TRITON FWF, Themis FWF
De Maio, V., Brandic, I., Deelman, E., Cito, J. (2025). The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software. In J. Li (Ed.), FSE Companion ’25: Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering (pp. 1721–1731). ACM. Peer-reviewed.
DOI: 10.1145/3696630.3731623
Zilk, F., Tundo, A., De Maio, V., Brandic, I. (2025). Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes. arXiv.
DOI: 10.48550/arXiv.2504.15141 / Projects: HPQC, TRITON FWF, Themis FWF
De Maio, V., Brandic, I., Deelman, E., Cito, J. (2025). The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software. arXiv.
DOI: 10.48550/arXiv.2503.11450
Ilager, S., Briem, L. F., Brandic, I. (2025). GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation. arXiv.
DOI: 10.48550/arXiv.2501.11006
Maliakel, P. J., Ilager, S., Brandic, I. (2025). Investigating Energy Efficiency and Performance Trade-offs in LLM Inference Across Tasks and DVFS Settings. arXiv.
DOI: 10.48550/arXiv.2501.08219
Tundo, A., Filippini, F., Regonesi, F., Ciavotta, M., Savi, M. (2025). Decentralized Edge Workload Forecasting With Gossip Learning. IEEE Transactions on Network and Service Management. Peer-reviewed.
DOI: 10.1109/TNSM.2025.3570450 / Projects: TRITON FWF, Themis FWF
Ilager, S., Fahringer, J., Tundo, A., Brandić, I. (2025). A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments. ACM Transactions on Autonomous and Adaptive Systems. Peer-reviewed.
DOI: 10.1145/3736726 / Projects: SWAIN, TRITON FWF, Virtual Shepherd, Themis FWF

2024

Zilic, J., De Maio, V., Ilager, S., Brandic, I. (2024). FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts. arXiv.
DOI: 10.48550/arXiv.2410.06715
May, D., Tundo, A., Ilager, S., Brandic, I. (2024). DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge. arXiv.
DOI: 10.48550/arXiv.2410.23881
Kanatbekova, M., Ilager, S. S., Brandic, I. (2024). ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge. arXiv.
DOI: 10.48550/arXiv.2410.10285 / Projects: TRITON FWF, Virtual Shepherd, Themis FWF
Herbst, S., Cranganore, S. S., De Maio, V., Brandic, I. (2024). Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks. arXiv.
DOI: 10.48550/arXiv.2410.09470 / Projects: HPQC, TRITON FWF, Themis FWF
Al-Dulaimy, A., Jansen, M., Johansson, B., Trivedi, A., Iosup, A., Ashjaei, M., Galletta, A., Kimovski, D., Prodan, R., Tserpes, K., Kousiouris, G., Giannakos, C., Brandic, I., Ali, N., Bondi, A. B., Papadopoulos, A. V. (2024). The computing continuum: From IoT to the cloud. Internet of Things, 27, Article 101272. Peer-reviewed.
DOI: 10.1016/j.iot.2024.101272 / Download: PDF / Projects: TRITON FWF, Virtual Shepherd, Themis FWF
Chu, X., Hofstätter, D., Ilager, S. S., Talluri, S., Kampert, D., Podareanu, D., Duplyakin, D., Brandic, I., Iosup, A. (2024). Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. arXiv.
DOI: 10.48550/arXiv.2409.08949 / Projects: HPQC, TRITON FWF, Themis FWF
Ilager, S., Balouek, D., Kaddour, S. M., Brandic, I. (2024). Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes. In FlexScience’24 : Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures (pp. 1–8). Association for Computing Machinery. Peer-reviewed.
DOI: 10.1145/3659995.3660037 / Projects: SWAIN, TRITON FWF, Virtual Shepherd, Themis FWF
May, D., Bonelli, J., Feuchtner, M., Filzmoser, P., Prat, E. H., Kummer, S. (2024). Symptom-Score des Sterbeprozesses zur Prognosebeurteilung des Sterbeprozesses bei Bewohnern in Pflegeheimen. HeilberufeSCIENCE, 15(3–4), 95–103.
DOI: 10.1007/s16024-024-00412-1
Catalfamo, A., Aral, A., Brandic, I., Deelman, E., Villari, M. (2024). Machine Learning Workflows in the Computing Continuum for Environmental Monitoring. In Computational Science – ICCS 2024 : 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part V (pp. 368–382). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-63775-9_27 / Projects: SWAIN, TRITON FWF, Virtual Shepherd, Themis FWF
Maliakel, P. J., Ilager, S., Brandic, I. (2024). FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. In EdgeSys ’24: Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking (pp. 1–6). Association for Computing Machinery. Peer-reviewed.
DOI: 10.1145/3642968.3654813 / Projects: TRITON FWF, Virtual Shepherd, Themis FWF
Herbst, S., De Maio, V., Brandic, I. (2024). Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case. In Euro-Par 2023: Parallel Processing Workshops : Euro-Par 2023 International Workshops Limassol, Cyprus, August 28 – September 1, 2023 Revised Selected Papers, Part I (pp. 177–188). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-50684-0_14 / Projects: HPQC, HPQC, TRITON FWF, RUCON
Cranganore, S. S., De Maio, V., Brandic, I., Deelman, E. (2024). Paving the Way to Hybrid Quantum-Classical Scientific Workflows. arXiv.
DOI: 10.48550/arXiv.2404.10389 / Projects: HPQC, HPQC, TRITON FWF, Themis FWF, RUCON
Herbst, S., De Maio, V., Brandic, I. (2024). On Optimizing Hyperparameters for Quantum Neural Networks. arXiv.
DOI: 10.48550/arXiv.2403.18579 / Projects: HPQC, HPQC, TRITON FWF
De Maio, V., Kanatbekova, M., Zilk, F., Friis, N., Guggemos, T., Brandic, I. (2024). Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. arXiv.
DOI: 10.48550/arXiv.2403.00885 / Projects: HPQC, HPQC, TRITON FWF, RUCON
De Maio, V., Kanatbekova, M., Zilk, F., Friis, N., Guggemos, T., Brandic, I. (2024). Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 626–635). Peer-reviewed.
DOI: 10.1109/CCGrid59990.2024.00075 / Projects: HPQC, HPQC, TRITON FWF, RUCON
De Maio, V., Bork, D., Brandic, I. (2024). RIGOLETTO: A Workflow Definition Language for Hybrid Quantum-Classical Scientific Applications. In 2024 26th International Conference on Business Informatics (CBI) (pp. 40–49). Peer-reviewed.
DOI: 10.1109/CBI62504.2024.00015 / Projects: HPQC, TRITON FWF, Themis FWF

2023

Tundo, A., Mobilio, M., Ilager, S. S., Brandic, I., Bartocci, E., Mariani, L. (2023). An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 281–293). IEEE. Peer-reviewed.
DOI: 10.1109/ASE56229.2023.00046 / Projects: Intrasafed 5G, SWAIN, TRITON FWF, RUCON
Ilager, S. S., De Maio, V., Lujic, I., Brandic, I. (2023). Data-centric Edge-AI: A Symbolic Representation Use Case. In 2023 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 301–308). IEEE. Peer-reviewed.
DOI: 10.1109/EDGE60047.2023.00052
De Maio, V., Brandic, I. (Eds.). (2023). International Conference on High Performance Computing (Vol. 13999). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-40843-4
De Maio, V., Brandic, I. (2023). Accelerating Scientific Applications with the Quantum Edge: A Drug Design Use Case. In A. Bienz, M. Weiland, M. Baboulin, C. Kruse (Eds.), High Performance Computing : ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21–25, 2023, Revised Selected Papers (pp. 134–143). Springer.
DOI: 10.1007/978-3-031-40843-4_11
Hofstätter, D., Ilager, S. S., Lujic, I., Brandic, I. (2023). SymED: Adaptive and Online Symbolic Representation of Data on the Edge. In J. Cano, M. D. Dikaiakos, G. A. Papadopoulos, M. Pericàs, R. Sakellariou (Eds.), Euro-Par 2023: Parallel Processing : 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 – September 1, 2023, Proceedings (pp. 411–425). Springer. Peer-reviewed.
DOI: 10.1007/978-3-031-39698-4_28
Ahmad, S., Uyanık, H., Ovatman, T., Sandıkkaya, M. T., Maio, V. D., Brandić, I., Aral, A. (2023). Sustainable Environmental Monitoring via Energy and Information Efficient Multi-Node Placement. IEEE Internet of Things Journal. Peer-reviewed.
DOI: 10.1109/JIOT.2023.3303124
Luger, D., Aral, A., Brandic, I. (2023). Cost-Aware Neural Network Splitting and Dynamic Rescheduling for Edge Intelligence. ACM Journal on Experimental Algorithmics, 42–47. Peer-reviewed.
DOI: 10.1145/3578354.3592871
De Maio, V., Bermbach, D., Brandic, I. (2023). TAROT: Spatio-Temporal Function Placement for Serverless Smart City Applications. In 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) (pp. 21–30). IEEE. Peer-reviewed.
DOI: 10.1109/UCC56403.2022.00013 / Project: RUCON

2022

Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., Golec, M., Stankovski, V., Wu, H., Abraham, A., Singh, M., Mehta, H., Ghosh, S. K., Baker, T., Parlikad, A. K., Lutfiyya, H., Kanhere, S. S., Sakellariou, R., Dustdar, S., … Uhlig, S. (2022). AI for next generation computing: Emerging trends and future directions. Internet of Things, 19, 100514. Peer-reviewed.
DOI: 10.1016/j.iot.2022.100514
De Maio, V., Aral, A., Brandic, I. (2022). A Roadmap To Post-Moore Era for Distributed Systems. In ApPLIED ’22: Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems (pp. 30–34). Association for Computing Machinery (ACM).
DOI: 10.1145/3524053.3542747 / Download: PDF / Projects: SWAIN, RUCON
Zilic, J., De Maio, V., Aral, A., Brandic, I. (2022). Edge offloading for microservice architectures. In Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking (pp. 1–6). Association for Computing Machinery.
DOI: 10.1145/3517206.3526266 / Download: PDF / Project: RUCON
Tocze, K., Schmitt, N., Kargén, U., Aral, A., Brandic, I. (2022). Edge Workload Trace Gathering and Analysis for Benchmarking. In 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC) (pp. 34–41). IEEE.
DOI: 10.1109/ICFEC54809.2022.00012 / Projects: SWAIN, RUCON
Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., Golec, M., Stankovski, V., Wu, H., Abraham, A., Singh, M., Mehta, H., Ghosh, S. K., Baker, T., Parlikad, A. K., Lutfiyya, H., Kanhere, S. S., Sakellariou, R., Dustdar, S., … Uhlig, S. (2022). AI for Next Generation Computing: Emerging Trends and Future Directions. arXiv.
DOI: 10.48550/arXiv.2203.04159
Cranganore, S. S., De Maio, V., Brandic, I., Do, T. M. A., Deelman, E. (2022). Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems. In 2022 IEEE 18th International Conference on e-Science (e-Science) (pp. 346–356). IEEE. Peer-reviewed.
DOI: 10.1109/eScience55777.2022.00048 / Project: RUCON

2021

Bermbach, D., Chandra, A., Krintz, C., Gokhale, A., Slominski, A., Thamsen, L., Cavalcante, E., Guo, T., Brandic, I., Wolski, R. (2021). On the Future of Cloud Engineering. (p. 12). arXiv.
DOI: 10.48550/arXiv.2108.08685
Lujic, I., De Maio, V., Venugopal, S., Brandic, I. (2021). SEA-LEAP: Self-adaptive and Locality-aware Edge Analytics Placement. IEEE Transactions on Services Computing, 15(2), 602–613. Peer-reviewed.
DOI: 10.1109/tsc.2021.3104458
Brandic, I. (2021). Sustainable and Trustworthy Edge Machine Learning. IEEE Internet Computing, 25(5), 5–9. Peer-reviewed.
DOI: 10.1109/mic.2021.3104383
Aral, A., De Maio, V., Brandic, I. (2021). ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks. IEEE Transactions on Sustainable Computing, 7(4), 761–773. Peer-reviewed.
DOI: 10.1109/tsusc.2021.3049850
Zhou, H., Aral, A., Brandic, I., Erol-Kantarci, M. (2021). Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures. arXiv.
DOI: 10.48550/arXiv.2111.11868 / Projects: SWAIN, RUCON
Brandic, I., Sakellariou, R., Spillner, J. (Eds.). (2021). Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC’21). Association for Computing Machinery. Peer-reviewed.
HDL: 20.500.12708/24944
Brandic, I. (2021). Sustainable Data Centers. In Microsoft Austria Greenbook Sustainability (pp. 40–41). Microsoft.
HDL: 20.500.12708/30741
Lujic, I., Maio, V. D., Pollhammer, K., Bodrozic, I., Lasic, J., Brandic, I. (2021). Increasing Traffic Safety with Real-Time Edge Analytics and 5G. In Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking. 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2021), Edinburgh, United Kingdom of Great Britain and Northern Ireland (the). Peer-reviewed.
DOI: 10.1145/3434770.3459732
Bermbach, D., Chandra, A., Krintz, C., Gokhale, A., Slominski, A., Thamsen, L., Cavalcante, E., Guo, T., Brandic, I., Wolski, R. (2021). On the Future of Cloud Engineering. In 2021 IEEE International Conference on Cloud Engineering (IC2E). IC2E 2021 - IEEE International Conference on Cloud Engineering, San Francisco, CA, United States of America (the). IEEE. Peer-reviewed.
DOI: 10.1109/ic2e52221.2021.00044

2020

Lucanin, D., Pietri, I., Holmbacka, S., Brandic, I., Lilius, J., Sakellariou, R. (2020). Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. IEEE Transactions on Cloud Computing, 8(4), 1079–1092. Peer-reviewed.
DOI: 10.1109/tcc.2016.2628368
Aral, A., Erol-Kantarci, M., Brandić, I. (2020). Staleness Control for Edge Data Analytics. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4(2), 1–24. Peer-reviewed.
DOI: 10.1145/3392156
Lujic, I., De Maio, V., Brandic, I. (2020). Resilient Edge Data Management Framework. IEEE Transactions on Services Computing, 13(4), 663–674. Peer-reviewed.
DOI: 10.1109/tsc.2019.2962016
Aral, A., Brandic, I. (2020). Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services. IEEE Transactions on Parallel and Distributed Systems, 32(7), 1578–1590. Peer-reviewed.
DOI: 10.1109/tpds.2020.3046188
Torre, E., Durillo, J. J., De Maio, V., Agrawal, P., Benedict, S., Saurabh, N., Prodan, R. (2020). A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. Information and Software Technology, 128(106390), 106390. Peer-reviewed.
DOI: 10.1016/j.infsof.2020.106390
De Maio, V., Kimovski, D. (2020). Multi-objective scheduling of extreme data scientific workflows in Fog. Future Generation Computer Systems: The International Journal of EScience, 106, 171–184. Peer-reviewed.
DOI: 10.1016/j.future.2019.12.054
Aral, A., De Maio, V. (2020). Simulators and emulators for edge computing. In Edge Computing: Models, technologies and applications (pp. 291–311). IET The Institution of Engineering and Technology.
DOI: 10.1049/pbpc033e_ch14
Aral, A., Erol-Kantarci, M., Brandić, I. (2020). Staleness Control for Edge Data Analytics. In Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems. SIGMETRICS 2020 - ACM International Conference on Measurement and Modeling of Computer Systems, Boston (Online Conference), United States of America (the). Association for Computing Machinery, New York, NY, United States. Peer-reviewed.
DOI: 10.1145/3393691.3394219
Aral, A., Uriarte, R. B., Simonet-Boulogne, A., Brandic, I. (2020). Reliability Management for Blockchain-Based Decentralized Multi-Cloud. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020), Melbourne, Australia. IEEE. Peer-reviewed.
DOI: 10.1109/ccgrid49817.2020.00-91
Cuzzocrea, A., De Maio, V., Fadda, E. (2020). Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020), Madrid, Spain. IEEE. Peer-reviewed.
DOI: 10.1109/compsac48688.2020.00-69

2019

Aral, A., Brandic, I., Uriarte, R. B., De Nicola, R., Scoca, V. (2019). Addressing Application Latency Requirements through Edge Scheduling. Journal of Grid Computing, 17(4), 677–698. Peer-reviewed.
DOI: 10.1007/s10723-019-09493-z
Brandic, I. (2019). Facilitating Near Real Time Analytics on the Edge. In 8th Mediterranean Conference on Embedded Computing (MECO) (p. 1).
HDL: 20.500.12708/57696
De Maio, V., Brundo Uriarte, R., Brandic, I. (2019). Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs. In Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing. UCC ’19: IEEE/ACM 12th International Conference on Utility and Cloud Computing, Auckland, New Zealand. Peer-reviewed.
DOI: 10.1145/3344341.3368797
Basic, F., Aral, A., Brandic, I. (2019). Fuzzy Handoff Control in Edge Offloading. In 2019 IEEE International Conference on Fog Computing (ICFC). IEEE International Conference on Fog Computing (ICFC 2019), Prague, Czechia. IEEE.
DOI: 10.1109/icfc.2019.00020
Tocze, K., Schmitt, N., Brandic, I., Aral, A., Nadjm-Tehrani, S. (2019). Towards Edge Benchmarking: A Methodology for Characterizing Edge Workloads. In 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W). HotCloudPerf 2019 in conjunction with ICAC/SASO 2019, Umeå, Sweden. Peer-reviewed.
DOI: 10.1109/fas-w.2019.00030
Zilic, J., Aral, A., Brandic, I. (2019). EFPO: Energy Efficient and Failure Predictive Edge Offloading. In Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing. UCC ’19: IEEE/ACM 12th International Conference on Utility and Cloud Computing, Auckland, New Zealand. Peer-reviewed.
DOI: 10.1145/3344341.3368818

2018

Memeti, S., Pllana, S., Binotto, A., Kołodziej, J., Brandic, I. (2018). Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review. Computing, 101(8), 893–936. Peer-reviewed.
DOI: 10.1007/s00607-018-0614-9
Scoca, V., Aral, A., Brandic, I., De Nicola, R., Uriarte, R. B. (2018). Scheduling Latency-Sensitive Applications in Edge Computing. In Proceedings of the 8th International Conference on Cloud Computing and Services Science. 8th International Conference on Cloud Computing and Services Science, Madeira, Portugal. Peer-reviewed.
DOI: 10.5220/0006706201580168
De Maio, V., Brandic, I. (2018). First-Hop Mobile Offloading of DAG Computations. In 18th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2018) (pp. 1–10). Peer-reviewed.
HDL: 20.500.12708/57367
Lujic, I., De Maio, V., Brandic, I. (2018). Adaptive Recovery of Incomplete Datasets for Edge Analytics. In 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC). 2nd IEEE International Conference on Fog and Edge Computing (ICFEC 2018), Washington DC, United States of America (the). IEEE. Peer-reviewed.
DOI: 10.1109/cfec.2018.8358726
Aral, A., Brandic, I. (2018). Dependency Mining for Service Resilience at the Edge. In 2018 IEEE/ACM Symposium on Edge Computing (SEC). SEC 2018 Third ACM/IEEE Symposium on Edge Computing, Bellevue, United States of America (the). IEEE. Peer-reviewed.
DOI: 10.1109/sec.2018.00024
Aral, A., Brandic, I. (2018). Consistency of the Fittest: Towards Dynamic Staleness Control for Edge Data Analytics. In G. Mencagli (Ed.), Euro-Par 2018: Parallel Processing Workshops : Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers (pp. 40–52). Springer. Peer-reviewed.
DOI: 10.1007/978-3-030-10549-5_4
De Maio, V., Brandic, I. (2018). Multi-Objective Mobile Edge Provisioning in Small Cell Clouds. In Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering. 10th ACM/SPEC International Conference on Performance Engineering (ICPE 2019), Mumbai, India. Peer-reviewed.
DOI: 10.1145/3297663.3310301

2017

Almeida, F., Assunção, M. D., Barbosa, J., Blanco, V., Brandic, I., Da Costa, G., Dolz, M. F., Elster, A. C., Jarus, M., Karatza, H., Lefevre, L., Mavridis, I., Oleksiak, A., Orgerie, A.-C., Pierson, J.-M. (2017). Energy monitoring as an essential building block towards sustainable ultrascale systems. Sustainable Computing: Informatics and Systems, 17, 27–42. Peer-reviewed.
DOI: 10.1016/j.suscom.2017.10.013
Aral, A., Brandic, I. (2017). Quality of Service Channelling for Latency Sensitive Edge Applications. In 2017 IEEE International Conference on Edge Computing (EDGE). IEEE 1st International Conference on Fog and Edge Computing (ICFEC 2017), Madrid, Spain. IEEE. Peer-reviewed.
DOI: 10.1109/ieee.edge.2017.30
Lujic, I., De Maio, V., Brandic, I. (2017). Efficient Edge Storage Management Based on Near Real-Time Forecasts. In 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC). IEEE 1st International Conference on Fog and Edge Computing (ICFEC 2017), Madrid, Spain. IEEE. Peer-reviewed.
DOI: 10.1109/icfec.2017.9

2016

Farokhi, S., Jamshidi, P., Lakew, E. B., Brandic, I., Elmroth, E. (2016). A hybrid cloud controller for vertical memory elasticity: A control-theoretic approach. Future Generation Computer Systems: The International Journal of EScience, 65, 57–72. Peer-reviewed.
HDL: 20.500.12708/149888
Mastelić, T., García García, A., Brandić, I. (2016). Towards uniform management of multi-layered cloud services by applying model-driven development. Journal of Systems and Software, 121, 358–371. Peer-reviewed.
DOI: 10.1016/j.jss.2016.01.001
Brandic, I. (2016). Challenges in geo-temporal control of multi-clouds. In AHPC16 booklet of abstracts (pp. 42–43).
HDL: 20.500.12708/56866

2015

Mastelic, T., Oleksiak, A., Claussen, H., Brandic, I., Pierson, J.-M., Vasilakos, A. V. (2015). Cloud Computing: Survey on Energy Efficiency. ACM Computing Surveys, 47(2), 1–36. Peer-reviewed.
DOI: 10.1145/2656204
Jrad, F., Tao, J., Brandic, I., Streit, A. (2015). SLA enactment for large-scale healthcare workflows on multi-Cloud. Future Generation Computer Systems: The International Journal of EScience, 43–44, 135–148. Peer-reviewed.
DOI: 10.1016/j.future.2014.07.005
Bagein, M., Barbosa, J., Blanco, V., Brandic, I., Cremer, S., Fremal, S., Karatza, H., Lefevre, L., Mastelic, T., Oleksiak, A., Orgerie, A.-C., Stavrinides, G. L., Varrette, S. (2015). Energy Efficiency for Ultrascale Systems: Challenges and Trends from Nesus Project. Supercomputing Frontiers and Innovations, 2(2). Peer-reviewed.
DOI: 10.14529/jsfi150206
Lucanin, D., Brandic, I. (2015). Pervasive Cloud Controller for Geotemporal Inputs. IEEE Transactions on Cloud Computing, 4(2), 180–195. Peer-reviewed.
DOI: 10.1109/tcc.2015.2464794
Mastelic, T., Brandic, I. (2015). Recent Trends in Energy-Efficient Cloud Computing. IEEE Cloud Computing, 2(1), 40–47.
DOI: 10.1109/mcc.2015.15
Emeakaroha, V. C., Netto, M. A. S., Brandic, I., De Rose, C. A. F. (2015). Application-Level Monitoring and SLA Violation Detection for Multi-Tenant Cloud Services. In S. Bagchi (Ed.), Advances in Systems Analysis, Software Engineering, and High Performance Computing (pp. 157–186). IGI Global. Peer-reviewed.
DOI: 10.4018/978-1-4666-8213-9.ch005 / Project: FoSII
Takfarinas, S., Ventresque, A., Brandic, I., Thorburn, J. (2015). Towards a Multi-objective VM Reassignment for Large Decentralised Data Centres. In 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC). 8th IEEE/ACM International Conference on Utility and Cloud Computing, Cyprus. Peer-reviewed.
DOI: 10.1109/ucc.2015.21
Farokhi, S., Lakew, E. B., Klein, C., Brandic, I., Elmroth, E. (2015). Coordinating CPU and Memory Elasticity Controllers to Meet Service Response Time Constraints. In Proceedings of IEEE International Conference on Cloud and Autonomic Computing (pp. 1–12).
HDL: 20.500.12708/55865
Farokhi, S., Jamshidi, P., Lucanin, D., Brandic, I. (2015). Performance-based Vertical Memory Elasticity. In The 12th IEEE International Conference on Autonomic Computing (pp. 1–2).
HDL: 20.500.12708/55871
Farokhi, S., Jamshidi, P., Brandic, I., Elmroth, E. (2015). Self-adaptation Challenges for Cloud-based Applications: A Control Theoretic Perspective. In 10th International Workshop on Feedback Computing 2015. 10th International Workshop on Feedback Computing (Feedback Computing 2015), Seattle, United States of America (the). Peer-reviewed.
HDL: 20.500.12708/55878
Mastelic, T., Fdhila, W., Brandic, I., Rinderle-Ma, S. (2015). Predicting Resource Allocation and Costs for Business Processes in the Cloud. In 2015 IEEE World Congress on Services. IEEE 11th World Congress on Services (SERVICES 2015), New York City, United States of America (the).
DOI: 10.1109/services.2015.16
Grygorenko, D., Farokhi, S., Brandic, I. (2015). Cost-Aware VM Placement across Distributed DCs using Bayesian Networks. In Economics of Grids, Clouds, Systems, and Service (pp. 1–16). Springer. Peer-reviewed.
HDL: 20.500.12708/56168
Brandic, I., Mastelic, T. (2015). Data velocity scaling via dynamic monitoring frequency on ultrascale infrastructures. In CLOUDCOM 2105, 7th IEEE International Conference on Cloud Computing Technology and Science. IEEE CloudCom 2015: 7 th IEEE International Conference on Cloud Computing Technology and Science, Vancouver, Canada. Peer-reviewed.
HDL: 20.500.12708/56413
Lucanin, D., Pietri, I., Brandic, I., Sakellariou, R. (2015). A Cloud Controller for Performance-Based Pricing. In 2015 IEEE 8th International Conference on Cloud Computing. 8th IEEE International Conference on Cloud Computing (CLOUD 2015), New York City, United States of America (the). Peer-reviewed.
DOI: 10.1109/cloud.2015.30

2014

Kertesz, A., Kecskemeti, G., Brandic, I. (2014). An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 32, 54–68. Peer-reviewed.
DOI: 10.1016/j.future.2012.05.016
Lomuscio, A. R., Nepal, S., Patrizi, F., Benatallah, B., Brandic, I. (Eds.). (2014). Service-Oriented Computing--ICSOC 2013 Workshops : CCSA, CSB, PASCEB, SWESE, WESOA, and PhD Symposium, Berlin, Germany, December 2-5, 2013. Revised Selected Papers. Springer. Peer-reviewed.
DOI: 10.1007/978-3-319-06859-6
Lomuscio, A. R., Nepal, S., Patrizi, F., Benatallah, B., Brandic, I. (Eds.). (2014). ICSOC PhD Symposium 2013 in: Service-Oriented Computing - ICSOC 2013 Workshops, LNCS 8377. Springer. Peer-reviewed.
HDL: 20.500.12708/23960
Truong, H.-L., Dam, H. K., Ghose, A., Dustdar, S. (2014). Augmenting Complex Problem Solving with Hybrid Compute Units. In A. R. Lomuscio, S. Nepal, F. Patrizi, B. Benatallah, I. Brandic (Eds.), Service-Oriented Computing--ICSOC 2013 Workshops (pp. 95–110). Springer. Peer-reviewed.
DOI: 10.1007/978-3-319-06859-6_9 / Project:
Farokhi, S., Jrad, F., Brandic, I., Streit, A. (2014). HS4MC - Hierarchical SLA-based Service Selection for Multi-Cloud Environments. In M. Helfert, F. Desprez, D. Ferguson, F. Leymann, V. M. Munoz (Eds.), Proceedings of the 4th International Conference on Cloud Computing and Services Science. SciTePress. Peer-reviewed.
DOI: 10.5220/0004979707220734
Jrad, F., Tao, J., Brandic, I., Streit, A. (2014). Multi-dimensional Resource Allocation for Data-intensive Large-scale Cloud Applications. In M. Helfert, F. Desprez, D. Ferguson, F. Leymann, V. M. Munoz (Eds.), Proceedings of the 4th International Conference on Cloud Computing and Services Science. SciTePress. Peer-reviewed.
DOI: 10.5220/0004971906910702
Mastelic, T., Brandic, I., Garcia, A. G. (2014). Towards Uniform Management of Cloud Services by Applying Model-Driven Development. In C. K. Chang, Y. Gao, A. Hurson, M. Matskin, B. McMillin, Y. Okabe, C. Seceleanu, K. Yoshida (Eds.), 2014 IEEE 38th Annual Computer Software and Applications Conference. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/compsac.2014.20
Brandic, I. (2014). Reducing Energy Consumption by Using Clouds. In N. Bjørner, V. Negru, T. Ida, T. Jebelean, D. Petcu, S. M. Watt, D. Zaharie (Eds.), 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. IEEE.
DOI: 10.1109/synasc.2013.80
Brandic, I. (2014). Democratization in Science and Technology through Cloud Computing. In A. Holzinger, T. Libourel, L. Maciaszek, S. J. Mellor (Eds.), ICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications (p. IS-9-IS-10). SciTePress.
HDL: 20.500.12708/55257
Brandic, I. (2014). Democratization in Science and Technology through Cloud Computing. In M. S. Obaidat, A. Holzinger, P. Samarati (Eds.), SECRYPT 2014 - Proceedings of the 11th International Conference on Security and Cryptography (p. IS-7-IS-8). SciTePress.
HDL: 20.500.12708/55258
Mastelic, T., Jasarevic, J., Brandic, I. (2014). CPU Performance Coefficient (CPU-PC): A Novel Performance Metric Based on Real-Time CPU Resource Provisioning in Time-Shared Cloud Environments. In 2014 IEEE 6th International Conference on Cloud Computing Technology and Science. 2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CLOUDCOM 2014), Singapore, Singapore. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/cloudcom.2014.13
Lučanin, D., Jrad, F., Brandic, I., Streit, A. (2014). Energy-Aware Cloud Management Through Progressive SLA Specification. In J. Altmann, K. Vanmechelen, O. F. Rana (Eds.), Economics of Grids, Clouds, Systems, and Services (pp. 83–98). Springer International Publishing. Peer-reviewed.
DOI: 10.1007/978-3-319-14609-6_6
Lucanin, D., Jrad, F., Brandic, I., Streit, A. (2014). Energy-Aware Cloud Management through Progressive SLA Specification. arXiv.
arXiv: 1409.0325

2013

Emeakaroha, V. C., Maurer, M., Stern, P., Łabaj, P. P., Brandic, I., Kreil, D. P. (2013). Managing and Optimizing Bioinformatics Workflows for Data Analysis in Clouds. Journal of Grid Computing, 11(3), 407–428. Invited and peer-reviewed.
DOI: 10.1007/s10723-013-9260-9 / Project: FoSII
Maurer, M., Brandic, I., Sakellariou, R. (2013). Adaptive resource configuration for Cloud infrastructure management. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 29(2), 472–487. Peer-reviewed.
DOI: 10.1016/j.future.2012.07.004 / Project: FoSII
Breskovic, I., Altmann, J., Brandic, I. (2013). Creating standardized products for electronic markets. Future Generation Computer Systems: The International Journal of EScience, 29(4), 1000–1011. Peer-reviewed.
DOI: 10.1016/j.future.2012.06.007
Emeakaroha, V. C., Brandic, I., Maurer, M., Dustdar, S. (2013). Cloud resource provisioning and SLA enforcement via LoM2HiS framework (Special Issue Paper). CONCURRENCY AND COMPUTATION-PRACTICE EXPERIENCE, 25(10), 1462–1481. Invited and peer-reviewed.
HDL: 20.500.12708/155127 / Project: FoSII
Kritikos, K., Pernici, B., Plebani, P., Cappiello, C., Comuzzi, M., Benrernou, S., Brandic, I., Kertész, A., Parkin, M., Carro, M. (2013). A Survey on Service Quality Description. ACM Computing Surveys, 46(1), 1–58. Peer-reviewed.
DOI: 10.1145/2522968.2522969 / Project:
Bohlouli, M., Schulz, F., Angelis, L., Pahor, D., Brandic, I., Atlan, D., Tate, R. (2013). Towards an Integrated Platform for Big Data Analysis. In M. Fathi (Ed.), Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives (pp. 47–56). Springer-Verlag Berlin Heidelberg. Peer-reviewed.
HDL: 20.500.12708/27807
Breskovic, I., Brandic, I., Altmann, J. (2013). Maximizing Liquidity in Cloud Markets through Standardization of Computational Resources. In 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering. IEEE Seventh International Symposium on Service-Oriented System Engineering, SOSE 2013, Redwood City, San Francisco Bay, California, United States of America (the). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/sose.2013.48
Mastelic, T., Brandic, I. (2013). TimeCap: Methodology for Comparing IT Infrastructures Based on Time and Capacity Metrics. In 2013 IEEE Sixth International Conference on Cloud Computing. IEEE Sixth International Conference on Cloud Computing, CLOUD 2013, Santa Clara, United States of America (the). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/cloud.2013.130
Caton, S., Breskovic, I., Brandic, I. (2013). A Conceptual Framework for Simulating Autonomic Cloud Markets. In M. Yousif L. Schubert (Eds.), Cloud Computing. Third International Conference, CloudComp 2012 (pp. 92–102). Springer International Publishing. Peer-reviewed.
DOI: 10.1007/978-3-319-03874-2_10
Lucanin, D., Brandic, I. (2013). Take a Break: Cloud Scheduling Optimized for Real-Time Electricity Pricing. In 2013 International Conference on Cloud and Green Computing. IEEE 3rd International Conference on Cloud and Green Computing, CGC 2013, Karlsruhe, Germany. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/cgc.2013.25
Paudel, S., Tauber, M., Brandic, I. (2013). Security standards taxonomy for Cloud applications in Critical Infrastructure IT. In 8th International Conference for Internet Technology and Secured Transactions (ICITST-2013). 8th International Conference for Internet Technology and Secured Transactions (ICITST 2013), London, United Kingdom of Great Britain and Northern Ireland (the). IEEE. Peer-reviewed.
DOI: 10.1109/icitst.2013.6750282
Brandic, I. (2013). Reducing energy consumption by using Clouds. In F. Desprez, D. Ferguson, E. Hadar, F. Leymann, M. Jarke, M. Helfert (Eds.), Proceedings of the 3rd International Conference on Cloud Computing and Services Science (CLOSER 2013) (p. IS-7-IS-8). SciTePress.
HDL: 20.500.12708/56035
Brandic, I. (2013). Reducing energy consumption by using Clouds. In B. Donnellan, J. F. Martins, M. Helfert, K.-H. Krempels (Eds.), Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems (SMARTGREENS 2013) (p. IS-5-IS-6). SciTePress.
HDL: 20.500.12708/56036

2012

Maurer, M., Emeakaroha, V. C., Brandic, I., Altmann, J. (2012). Cost-benefit analysis of an SLA mapping approach for defining standardized Cloud computing goods. Future Generation Computer Systems: The International Journal of EScience, 28(1), 39–47. Peer-reviewed.
DOI: 10.1016/j.future.2011.05.023 / Project: FoSII
Mastelic, T., Brandic, I., Emeakaroha, V. C., Maurer, M., Breskovic, I. (2012). Energy Efficiency in Cloud and Related Security Issues. Dagstuhl Reports, 1(12), 20. Invited.
HDL: 20.500.12708/163572
Brandic, I., Buyya, R. (2012). Special section: Recent advances in utility and cloud computing - Editorial. Future Generation Computer Systems: The International Journal of EScience, 28(1), 36–38. Invited.
DOI: 10.1016/j.future.2011.06.001
Emeakaroha, V. C., Netto, M. A. S., Calheiros, R. N., Brandic, I., Buyya, R., De Rose, C. A. F. (2012). Towards autonomic detection of SLA violations in Cloud infrastructures. Future Generation Computer Systems: The International Journal of EScience, 28(7), 1017–1029. Peer-reviewed.
DOI: 10.1016/j.future.2011.08.018 / Project: FoSII
Brandic, I. (2012). Cloud Computing - the Past, Present and Future. Government Gazette, 2012-03–09. Invited.
HDL: 20.500.12708/163940
Villari, M., Brandic, I., Tusa, F. (Eds.). (2012). Achieving Federated and Self-Manageable Cloud Infrastructures : Theory and Practice. IGI Global. Peer-reviewed.
DOI: 10.4018/978-1-4666-1631-8
Topic 6: Grid, Cluster and Cloud Computing in: Euro-Par 2012 Parallel Processing, LNCS 7484. (2012). In C. Kaklamanis, T. Papatheodorou, P. G. Spirakis, E. Elmroth, P. Fragopoulou, A. Andrzejak, I. Brandic, K. Djemame, P. Romano (Eds.), Lecture Notes in Computer Science. Springer. Peer-reviewed.
DOI: 10.1007/978-3-642-32820-6
Maurer, M., Emeakaroha, V. C., Brandic, I. (2012). Economic Analysis of the SLA Mapping Approach for Cloud Computing Goods. In M. Villari, I. Brandic, F. Tusa (Eds.), Achieving Federated and Self-Manageable Cloud Infrastructures (pp. 308–327). IGI Global. Peer-reviewed.
DOI: 10.4018/978-1-4666-1631-8.ch016 / Project: FoSII
Breskovic, I., Maurer, M., Emeakaroha, V. C., Brandic, I., Altmann, J. (2012). Achieving Market Liquidity Through Autonomic Cloud Market Management. In I. Ivanov, M. van Sinderen, B. Shishkov (Eds.), Cloud Computing and Services Science (pp. 91–107). Springer. Peer-reviewed.
DOI: 10.1007/978-1-4614-2326-3_5 / Project: FoSII
Emeakaroha, V. C., Netto, M. A. S., Calheiros, R. N., De Rose, C. A. F. (2012). Achieving Flexible SLA and Resource Management in Clouds. In M. Villari, I. Brandic, F. Tusa (Eds.), Achieving Federated and Self-Manageable Cloud Infrastructures (pp. 266–287). IGI Global. Peer-reviewed.
DOI: 10.4018/978-1-4666-1631-8.ch014 / Project: FoSII
Kecskemeti, G., Maurer, M., Brandic, I., Kertesz, A., Nemeth, Z., Dustdar, S. (2012). Facilitating Self-Adaptable Inter-cloud Management. In R. Stotzka, M. Schiffers, Y. Cotronis (Eds.), Proceedings of the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012 (pp. 575–582). IEEE Computer Society. Peer-reviewed.
HDL: 20.500.12708/54113 / Projects: , FoSII
Mastelic, T., Emeakaroha, V. C., Maurer, M., Brandic, I. (2012). M4Cloud - Generic Application Level Monitoring for Resource-Shared Cloud Environments - (Best Paper Award). In CLOSER 2012, Proceedings of the 2nd International Conference on Cloud Computing and Services Science (pp. 522–532). SciTePress. Peer-reviewed.
HDL: 20.500.12708/54127
Emeakaroha, V. C., Ferreto, T. C., Netto, Marco. A. S., Brandic, I., De Rose, C. A. F. (2012). CASViD: Application Level Monitoring for SLA Violation Detection in Clouds. In 2012 IEEE 36th Annual Computer Software and Applications Conference. 36th Annual IEEE International Computer Software and Applications Conference, COMPSAC 2012, Izmir, Turkey. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/compsac.2012.68 / Project: FoSII
Maurer, M., Brandic, I., Sakellariou, R. (2012). Self-Adaptive and Resource-Efficient SLA Enactment for Cloud Computing Infrastructures. In R. Chang (Ed.), 2012 IEEE Fifth International Conference on Cloud Computing. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/cloud.2012.55 / Project: FoSII
Borgetto, D., Maurer, M., Da-Costa, G., Pierson, J.-M., Brandic, I. (2012). Energy-efficient and SLA-aware management of IaaS clouds. In Proceedings of the 3rd International Conference on Future Energy Systems Where Energy, Computing and Communication Meet - e-Energy ’12. 3rd International Conference on Future Energy Systems, e-Energy 2012, Madrid, Spain. ACM. Peer-reviewed.
DOI: 10.1145/2208828.2208853 / Project: FoSII
Redl, C., Breskovic, I., Brandic, I., Dustdar, S. (2012). Automatic SLA Matching and Provider Selection in Grid and Cloud Computing Markets. In 2012 ACM/IEEE 13th International Conference on Grid Computing. The 13th ACM/IEEE International Conference on Grid Computing, GRID 2012, Beijing, China. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/grid.2012.18
Lucanin, D., Maurer, M., Mastelic, T., Brandic, I. (2012). Energy Efficient Service Delivery in Clouds in Compliance with the Kyoto Protocol. In J. Huusko, H. de Meer, S. Klingert, A. Somov (Eds.), Energy Efficient Data Centers (pp. 93–104). Springer. Peer-reviewed.
DOI: 10.1007/978-3-642-33645-4_9 / Project: FoSII
Mastelic, T., Lucanin, D., Ipp, A., Brandic, I. (2012). Methodology for trade-off analysis when moving scientific applications to Cloud. In Proceedings of the 2012 IEEE 4th International Conference on Cloud Computing Technology and Science, CloudCom 2012 (pp. 281–286). IEEE Computer Society. Peer-reviewed.
HDL: 20.500.12708/54504

2011

Breskovic, I., Brandic, I. (2011, November 28). Increasing the popularity of cloud computing by improving its market performance. Awareness Magazine. Invited.
HDL: 20.500.12708/163239 / Project: FoSII
Brandic, I. (2011). Mapping the SLA Landscape for High Performance Clouds. HPC in the Cloud, 07 FEBRUARY 2011, 3. Invited.
HDL: 20.500.12708/161829 / Project: FoSII
Brandic, I., Dustdar, S. (2011). Grid vs Cloud - A Technology Comparison. Information Technology, 53(4), 173–179. Invited and peer-reviewed.
DOI: 10.1524/itit.2011.0640 / Project: FoSII
Brandic, I., Raicu, I. (2011). Guest-editorial - Special issue on Science-Driven Cloud Computing. Scientific Programming, 19, 71–73. Invited.
DOI: 10.3233/SPR-2011-0326 / Project: FoSII
Emeakaroha, V. C., Maurer, M., Breskovic, I., Brandic, I., Dustdar, S. (2011). SOA and QoS Management for Cloud Computing. In L. Wang, R. Ranjan, J. Chen, B. Benatallah (Eds.), Cloud Computing: Methodology, Systems, and Applications (pp. 277–300). CRC Press. Peer-reviewed.
HDL: 20.500.12708/27243 / Project: FoSII
Emeakaroha, V. C., Maurer, M., Breskovic, I., Brandic, I. (2011). Time Shared VMs and Monitoring of Time Shared VMs. In J.-M. Pierson H. Hlavacs (Eds.), Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems 2nd Year (pp. 47–51). Institut de Recherche en Informatique de Toulouse (IRIT), Université Paul Sabatier.
HDL: 20.500.12708/53255 / Project: FoSII
Breskovic, I., Maurer, M., Emeakaroha, V. C., Brandic, I., Altmann, J. (2011). Towards Autonomic Market Management in Cloud Computing Infrastructures. In Proceedings of the 1st International Conference on Cloud Computing and Services Science (CLOSER 2011) (pp. 24–34). SciTePress. Peer-reviewed.
HDL: 20.500.12708/53643 / Project: FoSII
Kertesz, A., Kecskemeti, G., Brandic, I. (2011). Autonomic SLA-Aware Service Virtualization for Distributed Systems. In 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing. 19th International Euromicro Conference on Parallel, Distributed, and Network-Based Processing (PDP 2011), Ayia Napa, Cyprus. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/pdp.2011.17 / Projects: , FoSII
Maurer, M., Breskovic, I., Emeakaroha, V. C., Brandic, I. (2011). Revealing the MAPE loop for the autonomic management of Cloud infrastructures. In 2011 IEEE Symposium on Computers and Communications (ISCC). 1st Workshop on Management of Cloud Systems (MoCS 2011) in association with the IEEE Symposium on Computers and Communications (ISCC 2011), Kerkyra (Corfu), Greece. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/iscc.2011.5984008 / Project: FoSII
Maurer, M., Brandic, I., Sakellariou, R. (2011). Enacting SLAs in Clouds Using Rules. In E. Jeannot, R. Namyst, J. Roman (Eds.), Euro-Par 2011 Parallel Processing (pp. 455–466). Springer. Peer-reviewed.
DOI: 10.1007/978-3-642-23400-2_42 / Project: FoSII
Emeakaroha, V. C., Brandic, I., Maurer, M., Breskovic, I. (2011). SLA-Aware Application Deployment and Resource Allocation in Clouds. In 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops. Second IEEE International Workshop on Applied Cloud Computing (CloudApp 2011) in conjunction with COMPSAC 2011, Munich, Germany. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/compsacw.2011.97 / Project: FoSII
Stögerer, C., Brandic, I., Emeakaroha, V. C., Kastner, W., Novak, T. (2011). Applying availability SLAs to traffic management systems. In 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC). Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference, Washington, United States of America (the). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/itsc.2011.6082941 / Project: FoSII
Maurer, M., Brandic, I., Sakellariou, R. (2011). Enacting SLAs in Clouds Using Rules. In J.-M. Pierson H. Hlavacs (Eds.), Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems 2nd Year (pp. 132–136). Institut de Recherche en Informatique de Toulouse (IRIT), Université Paul Sabatier.
HDL: 20.500.12708/53738 / Project: FoSII
Maurer, M., Brandic, I., Sakellariou, R. (2011). Simulating Autonomic SLA Enactment in Clouds using Case Based Reasoning. In J.-M. Pierson H. Hlavacs (Eds.), Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems 2nd Year (pp. 36–40). Institut de Recherche en Informatique de Toulouse (IRIT), Université Paul Sabatier.
HDL: 20.500.12708/53741 / Project: FoSII
Breskovic, I., Maurer, M., Emeakaroha, V. C., Brandic, I., Dustdar, S. (2011). Cost-Efficient Utilization of Public SLA Templates in Autonomic Cloud Markets. In R. Buyya, S. Pallickara, G. Fox (Eds.), 2011 Fourth IEEE International Conference on Utility and Cloud Computing. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/ucc.2011.38 / Project: FoSII
Breskovic, I., Haas, C., Caton, S., Brandic, I. (2011). Towards Self-Awareness in Cloud Markets: A Monitoring Methodology. In J. Chen, W. Dou, J. Liu, L. T. Yang, J. Ma (Eds.), 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/dasc.2011.38 / Project: FoSII
Feller, E., Brandic, I. (2011). Focus Group “Energy and QoS-Aware Workload Management in Clouds” 2011 Foreword. In J.-M. Pierson H. Hlavacs (Eds.), Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems 2nd Year (p. 117). Institut de Recherche en Informatique de Toulouse (IRIT), Université Paul Sabatier.
HDL: 20.500.12708/53987 / Project: FoSII
Emeakaroha, V. C., Labaj, P. P., Maurer, M., Brandic, I., Kreil, D. P. (2011). Optimizing bioinformatics workflows for data analysis using cloud management techniques. In Proceedings of the 6th workshop on Workflows in support of large-scale science - WORKS ’11. 6th Workshop on Workflows in Support of Large-Scale Science, WORKS 2011 co-located with SC 2011, Seattle, United States of America (the). ACM. Peer-reviewed.
DOI: 10.1145/2110497.2110503 / Project: FoSII

2010

Brandic, I., Music, D., Dustdar, S. (2010). VieSLAF Framework: Facilitating Negotiations in Clouds by Applying Service Mediation and Negotiation Bootstrapping. Scalable Computing: Practice and Experience (SCPE), SPECIAL ISSUE: GRID AND CLOUD COMPUTING AND THEIR APPLICATION VOL. 11(2), 189–204.
HDL: 20.500.12708/167100 / Project: FoSII
Emeakaroha, V. C., Maurer, M., Brandic, I., Dustdar, S. (2010). FoSII - Foundations of Self-Governing ICT Infrastructures. ERCIM News, NUMBER 83(October 2010), 40–41. Invited and peer-reviewed.
HDL: 20.500.12708/167220 / Project: FoSII
Brandic, I., Music, D., Dustdar, S. (2010). Service Mediation and Negotiation Bootstrapping as First Achievements Towards Self-adaptable Cloud Services. In P. Wieder, R. Yahyapour, W. Ziegler (Eds.), Grids and Service-Oriented Architectures for Service Level Agreements (pp. 119–132). Springer. Peer-reviewed.
DOI: 10.1007/978-1-4419-7320-7_11 / Project: FoSII
Benbernou, S., Brandic, I., Cappiello, C., Carro, M., Comuzzi, M., Kertesz, A., Kritikos, K., Parkin, M., Pernici, B., Plebani, P. (2010). Modeling and Negotiating Service Quality. In M. P. Papazoglou, K. Pohl, M. Parkin, A. Metzger (Eds.), Service Research Challenges and Solutions for the Future Internet (pp. 157–208). Springer LNCS 6500. Peer-reviewed.
HDL: 20.500.12708/27133 / Project:
André, F., Brandic, I., Daubert, E., Gauvrit, G., Giordano, M., Kecskemeti, G., Kertesz, A., Di Napoli, C., Nemeth, Z., Pazat, J.-L., Psaier, H., Renz, W., Sudeikat, J. (2010). Architectures Infrastructure. In M. P. Papazoglou, K. Pohl, M. Parkin, A. Metzger (Eds.), Service Research Challenges and Solutions for the Future Internet (pp. 85–116). Springer LNCS 6500. Peer-reviewed.
HDL: 20.500.12708/27134 / Project:
Schubert, L., Jeffery, K., Neidecker-Lutz, B., Barot, P., Behr, F., Bosch, P., Brandic, I. (2010). The Future of Cloud Computing - Opportunities for European Cloud Computing Beyond 2010.
HDL: 20.500.12708/36467
Emeakaroha, V. C., Brandic, I., Maurer, M., Dustdar, S. (2010). Low Level Metrics to High Level SLAs - LoM2HiS Framework: Bridging the Gap Between Monitored Metrics and SLA Parameters in Cloud Environments. In W. W. Smari J. P. McIntire (Eds.), Proceedings of the 2010 International Conference on High Performance Computing Simulation (HPCS 2010) (pp. 48–54). IEEE. Peer-reviewed.
HDL: 20.500.12708/53150 / Project: FoSII
Maurer, M., Brandic, I., Emeakaroha, V. C., Dustdar, S. (2010). Towards Knowledge Management in Self-Adaptable Clouds. In 2010 6th World Congress on Services. IEEE 2010 Fourth International Workshop on Software Engineering for Adaptive Service-Oriented Systems (SEASS 2010) - SERVICES 2010, co-located with ICWS 2010, SCC 2010 and CLOUD 2010, Miami, United States of America (the). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/services.2010.26 / Project: FoSII
Brandic, I., Dustdar, S., Anstett, T., Schumm, D., Leymann, F., Konrad, R. (2010). Compliant Cloud Computing (C3): Architecture and Language Support for User-Driven Compliance Management in Clouds. In 2010 IEEE 3rd International Conference on Cloud Computing. 3rd International Conference on Cloud Computing (IEEE Cloud 2010), Miami, United States of America (the). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/cloud.2010.42 / Projects: , FoSII
Brandic, I., Emeakaroha, V. C., Maurer, M., Dustdar, S., Acs, S., Kertesz, A., Kecskemeti, G. (2010). LAYSI: A Layered Approach for SLA-Violation Propagation in Self-Manageable Cloud Infrastructures. In S. I. Ahamed, D.-H. Bae, S. Cha, C. K. Chang, R. Subramanyan, E. Wong, H.-I. Yang (Eds.), 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/compsacw.2010.70 / Projects: , FoSII
Ul Haq, I., Brandic, I., Schikuta, E. (2010). SLA Validation in Layered Cloud Infrastructures. In J. Altmann O. F. Rana (Eds.), Economics of Grids, Clouds, Systems, and Services Proceedings of the 7th International Workshop, GECON 2010 (pp. 153–164). Springer. Peer-reviewed.
HDL: 20.500.12708/53209 / Project: FoSII
Brandic, I., Emeakaroha, V. C., Maurer, M., Dustdar, S. (2010). Including Energy Efficiency into Self-adaptable Cloud Services. In J.-M. Pierson H. Hlavacs (Eds.), Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems 1st Year (pp. 84–87). COST Office. Peer-reviewed.
HDL: 20.500.12708/53211
Emeakaroha, V. C., Calheiros, R. N., Netto, M. A. S., Brandic, I., De Rose, C. (2010). DeSVi: An Architecture for Detecting SLA Violations in Cloud Computing Infrastructures. In Proceedings of the 2nd International ICST Conference on Cloud Computing (CloudComp 2010) (p. 20). ICST Gent. Peer-reviewed.
HDL: 20.500.12708/53262 / Project: FoSII
Maurer, M., Brandic, I., Sakellariou, R. (2010). Simulating Autonomic SLA Enactment in Clouds Using Case Based Reasoning. In E. Di Nitto R. Yahyapour (Eds.), Towards a Service-Based Internet Proceedings of the Service Wave 2010 3rd European Conference (pp. 25–36). Springer. Peer-reviewed.
HDL: 20.500.12708/53343 / Project: FoSII
Risch, M., Brandic, I., Altmann, J. (2010). Using SLA Mapping to Increase Market Liquidity. In A. Dan, F. Gittler, F. Toumani (Eds.), Service-Oriented Computing ICSOC/ServiceWave 2009 Workshops Revised Selected Papers (pp. 238–247). Springer. Peer-reviewed.
HDL: 20.500.12708/53526 / Project: FoSII
Haq, I. U., Schikuta, E., Brandic, I., Paschke, A., Boley, H. (2010). SLA Validation of Service Value Chains. In 2010 Ninth International Conference on Grid and Cloud Computing. 9th International Conference on Grid and Cloud Computing (GCC 2010), Nanjing, China. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/gcc.2010.67 / Project: FoSII

2009

Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., Brandic, I. (2009). Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems: The International Journal of EScience, 25(6), 599–616. Peer-reviewed.
DOI: 10.1016/j.future.2008.12.001
Brandic, I., Music, D., Leitner, P., Dustdar, S. (2009). VieSLAF Framework: Increasing the Versatility of Grid QoS Models by Applying Semi-automatic SLA-Mappings (TUV-1841-2009-02).
HDL: 20.500.12708/35577
Kertesz, A., Kecskemeti, G., Brandic, I. (2009). Autonomic Resource Virtualization in Cloud-like Environments (TUV-1841-2009-04).
HDL: 20.500.12708/36225
Gerndt, H. M., Rana, O. F., von Laszewski, G., Ziegler, W., Brandic, I. (2009). Towards Negotiation Bootstrapping and Service Mediation. In 09131 Abstracts Collection -- Service Level Agreements in Grids (p. 3). Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
HDL: 20.500.12708/52704
Brandic, I., Music, D., Dustdar, S. (2009). Service Mediation and Negotiation Bootstrapping as First Achievements Towards Self-adaptable Grid and Cloud Services. In Proceedings of the 6th International Conference Industry Session on Grids Meets Autonomic Computing (GMAC 2009) in conjunction with ICAC 2009 (pp. 1–8). ACM. Peer-reviewed.
HDL: 20.500.12708/52707
Kertesz, A., Kecskemeti, G., Brandic, I. (2009). An SLA-based Resource Virtualization Approach for On-demand Service Provision. In Proceedings of the 3rd International Workshop on Virtualization Technologies in Distributed Computing (VTDC 2009) in conjunction with ICAC 2009 (pp. 27–34). ACM. Peer-reviewed.
HDL: 20.500.12708/52708
Brandic, I., Music, D., Leitner, P., Dustdar, S. (2009). VieSLAF Framework: Enabling Adaptive and Versatile SLA-Management. In J. Altmann, R. Buyya, O. F. Rana (Eds.), Proceedings of the 6th International Workshop on Grid Economics and Business Models 2009 (GECON 09) in conjunction with Euro-Par 2009 (pp. 60–73). Springer. Peer-reviewed.
HDL: 20.500.12708/52747
Brandic, I. (2009). Towards Self-Manageable Cloud Services. In 2009 33rd Annual IEEE International Computer Software and Applications Conference. 33rd Annual IEEE International Computer Software and Applications Conference / 2nd IEEE International Workshop on Real-Time Service-Oriented Architecture and Applications (RTSOAA 2009), Seattle, United States of America (the). IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/compsac.2009.126
Wetzstein, B., Leitner, P., Rosenberg, F., Brandic, I., Dustdar, S., Leymann, F. (2009). Monitoring and Analyzing Influential Factors of Business Process Performance. In 2009 IEEE International Enterprise Distributed Object Computing Conference. 13th IEEE International Enterprise Distributed Object Computing Conference (EDOC’09), Auckland, New Zealand. IEEE Computer Society. Peer-reviewed.
DOI: 10.1109/edoc.2009.18

2008

Brandic, I., Venugopal, S., Mattess, M., Buyya, R. (2008). Towards a Meta-Negotiation Architecture for SLA-Aware Grid Services (GRIDS-TR-2008-9).
HDL: 20.500.12708/35024
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., Brandic, I. (2008). Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility (GRIDS-TR-2008-13).
HDL: 20.500.12708/35025
Brandic, I., Music, D., Dustdar, S., Venugopal, S., Buyya, R. (2008). Advanced QoS methods for Grid workflows based on meta-negotiations and SLA-mappings. In 2008 Third Workshop on Workflows in Support of Large-Scale Science. 3rd Workshop on Workflows in Support of Large-Scale Science WORKS 2008 in conjunction with Supercomputing 2008, Austin, Texas, USA, Non-EU. Peer-reviewed.
DOI: 10.1109/works.2008.4723960
Brandic, I., Venugopal, S., Mattess, M., Buyya, R. (2008). Towards a Meta-Negotiation Architecture for SLA-Aware Grid Services. In Proceedings of the 2nd International Workshop on Service-Oriented Engineering and Optimization (SENOPT 2008) in conjunction with HiPC 2008 (pp. 1–9). Peer-reviewed.
HDL: 20.500.12708/52653

Presentations

2025

May, D., Tundo, A., Ilager, S., Brandic, I. (2025). Towards Energy-Efficient Split Computing: A Hardware-Software Co-Design Perspective [Poster Presentation]. EuroSys 2025, Rotterdam, Netherlands (the).
HDL: 20.500.12708/225745

2024

Brandic, I. (2024). Challenges in the Design of Hybrid Classic-Quantum Systems [Keynote Presentation]. The 32nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2024), Dublin, Ireland.
HDL: 20.500.12708/210997 / Projects: HPQC, TRITON FWF, Themis FWF

2023

Brandic, I. (2023, November 17). Sustainable Computing [Presentation]. Can Machines Save The World?, Austria. Invited.
HDL: 20.500.12708/196106
Brandic, I. (2023, October 18). Benchmarking of Hybrid Computational Continuum [Keynote Presentation]. 35th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2023), Porto Alegre, Brazil. Invited.
HDL: 20.500.12708/196108
Brandic, I. (2023, October 11). Teil der Lösung oder Teil des Problems - Die ambivalente Rolle von Künstlicher Intelligenz in der Klimafrage [Keynote Presentation]. AI Policy forum Artificial Intelligence Mission Austria 2023, Austria. Invited.
HDL: 20.500.12708/196042
Brandic, I. (2023, October 5). ChatGPT Sustainability [Presentation]. EY Transformation Talks: KI im Spotlight - Talk 1, Austria. Invited.
HDL: 20.500.12708/196043
Brandic, I. (2023, September 15). Nachhaltige Nutzung der K.I. in der Mobilität [Keynote Presentation]. Austrian Traffic Telematics Cluster Annual Retreat (ATTC Klausur 2023), Austria. Invited.
HDL: 20.500.12708/196894
Brandic, I. (2023, May 10). Computational Sustainability [Keynote Presentation]. 9th International Conference on Computer Technology Applications (ICCTA 2023), Wien, Austria. Invited.
HDL: 20.500.12708/196896
Brandic, I. (2023, May 8). Towards Computational Sustainability: The Role of Edge Computing in the Post Moore Era [Keynote Presentation]. International B2B Software Days 2023 - the Future of Digital Business, Austria. Invited.
HDL: 20.500.12708/196895
Brandic, I. (2023, April 20). Supercomputer – quo vadis? [Presentation]. TU Forum: Supercomputer – quo vadis?, Wien, Austria. Invited.
HDL: 20.500.12708/196897
De Maio, V. (2023, March 14). Distributed systems in the Post-Moore era [Presentation]. TEWI Kolloquium of the University of Klagenfurt, 9020 Klagenfurt, Austria.
HDL: 20.500.12708/194344
Brandic, I. (2023, March 8). Principles of Sustainable IT [Presentation]. Berta Karlik Lecture 2023, Austria. Invited.
HDL: 20.500.12708/196899
Brandic, I. (2023, February 13). Edge Computing as a Missing Link in the Post Moore Era [Presentation]. Multi Core World 2023, New Zealand. Invited.
HDL: 20.500.12708/196901

2022

Brandic, I. (2022, April 9). Data Science Driven Methods for Sustainable and Failure Tolerant Edge Systems [Keynote Presentation]. 13th International Conference on Performance Engineering (ICPE 2022), China. Invited.
HDL: 20.500.12708/196902
Brandic, I. (2022). Edge Computing as a Missing Link in the Post Moore Era, Low Carbon and Sustainable Computing Seminar at the University of Glasgow [Presentation]. Low Carbon and Sustainable Computing Seminar at the University of Glasgow, United Kingdom of Great Britain and Northern Ireland (the). Invited.
HDL: 20.500.12708/154183
Brandic, I. (2022). Digitalisierung - Fluch und Segen für die Nachhaltigkeit? [Presentation]. DIGITALER SALON | Die digitale, klimaneutrale Stadt, Vienna, Austria. Invited.
HDL: 20.500.12708/153986
Brandic, I. (2022). Sustainable Edge Systems [Presentation]. INRIA Strategy Workshop on Middleware and Distributed Systems, France. Invited.
HDL: 20.500.12708/153985
Brandic, I. (2022). Data Science Driven Methods for Sustainable and Failure Tolerant Systems [Keynote Presentation]. PPAM 2022 - 14th INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING AND APPLIED MATHEMATICS, Gdansk, Poland.
HDL: 20.500.12708/153983

2021

Brandic, I. (2021). Data-Driven Techniques for Fault Tolerance in Edge Computing Systems - Theory. ESWeek 2021: Tutorial on Fog Computing for Industrial IoT, Unknown. Invited.
HDL: 20.500.12708/87313
Brandic, I. (2021). The Costs of Digital Transformation. Vortrag bei Festo Gesellschaft m.b.H., Wien, Austria. Invited.
HDL: 20.500.12708/87312
Brandic, I. (2021). Data Science Driven Methods for Sustainable and Failure Tolerant Edge Systems. YODA research group INRIA/IRISA, Unknown. Invited.
HDL: 20.500.12708/87311

2020

Brandic, I. (2020). Ressourcenverbrauch der digitalen Transformation. Forum TU Vision 2025+ Klimakrise. Wissenschaft. Verantwortung., Wien (online), Austria.
HDL: 20.500.12708/87133
Brandic, I. (2020). Ressourcenverbrauch der digitalen Transformation. Forum TU Vision 2025+: Digitale Transformation. Wissenschaft. Verantwortung., Wien, Austria.
HDL: 20.500.12708/87132
Brandic, I. (2020). Disrupting energy. Singularity University, chapter Vienna, Salon#12, Vienna, Austria.
HDL: 20.500.12708/87131
Brandic, I. (2020). Energy efficient computing. International Summer School on IoT, online, Unknown.
HDL: 20.500.12708/87130

2019

Brandic, I. (2019). Herausforderung der Informatik im Zeitalter der Digitalen Transformation. ÖAW Plenary Meeting, Wien, Austria. Invited.
HDL: 20.500.12708/87038
Aral, A., De Maio, V., Brandic, I. (2019). Cloud-Based Federated Learning For Environmental Data. CHIST-ERA Conference 2019, Tallinn, Estonia. Invited.
HDL: 20.500.12708/87028
Brandic, I. (2019). Near Real Time Edge Analytics. Europe Korea Conference on Science and Technology 2019, Vienna, Austria. Invited.
HDL: 20.500.12708/87039
Brandic, I. (2019). Edge Computing als neuer Ansatz für zeitkritische Datenanalyse. tuForMAth, Forum Mathematik, Vienna, Austria. Invited.
HDL: 20.500.12708/87040
Brandic, I. (2019). Resilience at the Edge. Workshop on Distributed Cloud Computing (DCC) 2019, co-located with DISC 2019, Budapest, Hungary. Invited.
HDL: 20.500.12708/87041

2018

Brandic, I. (2018). Revolutionizing Data Analytics through Edge Computing. Innovators’ Talks, T-Mobile Austria, Wien, Austria. Invited.
HDL: 20.500.12708/86864
Brandic, I. (2018). Challenges in Runtime Management of Ultrascale Near Real-Time Applications. Mälardalens Högskola, Västerås, Sweden. Invited.
HDL: 20.500.12708/86863
Brandic, I. (2018). Facilitating Near real time analytics on the edge through staleness control. Faculty of Computer Science, University of Vienna, Wien, Austria. Invited.
HDL: 20.500.12708/86862

2017

Brandic, I. (2017). Balancing Quality of Service and Energy Efficiency in Multi Clouds or How to Prevent Netflix Movies From Getting Stuck? Science Days of the Austrian Academy of Sciences (Young Academy), Innsbruck, Austria, Austria. Invited.
HDL: 20.500.12708/86662
Brandic, I. (2017). Challenges in Management of Geographically Distributed Ultra-scale Applications. TU Berlin, Berlin, Germany. Invited.
HDL: 20.500.12708/86661
Brandic, I. (2017). Challenges of Near-real time ultra-scale systems. SoftCOM 2017 - 25th International Conference on Software, Telecommunications and Computer Networks, Split, Croatia.
HDL: 20.500.12708/86660

2016

Brandic, I. (2016). Academic Keynote: Exascale System Management - What can we learn from efficient management of Ultra-scale Distributed Systems? 2016 Workshop on Exascale Multi/many Core Computing Systems (E-MuCoCoS 2016), Frankfurt, Germany.
HDL: 20.500.12708/86457
Brandic, I. (2016). Challenges in Geo-temporal Control of Multi-Clouds. Research Seminar at IMT School for Advanced Studies, Lucca, Italy. Invited.
HDL: 20.500.12708/86456

2015

Abraham, E., Bekas, C., Brandic, I., Genaim, S., Johnsen, E. B., Pllana, S., Streit, A. (2015). Preparing HPC Applications for Exascale: Challenges and Recommendations. International Workshop on Advanced Distributed and Parallel Network Applications (ADPNA-2015), Taipei, Taiwan (Province of China).
HDL: 20.500.12708/86249

2014

Brandic, I. (2014). Democratization in Science and Technology through Cloud Computing. 9th International Joint Conference on Software Technologies (ICSOFT 2014) and 11th International Joint Conference on E-Business and Telecommunications (ICETE 2014), Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85824
Brandic, I. (2014). Resource Management in Hybrid Clouds. NESUS COST Action IC1305 First Working Groups Meeting - WG 2 (WGs on Programming models and runtime in ultra scale systems and Energy Efficiency in Ultra scale systems), Madrid, Spain. Invited.
HDL: 20.500.12708/85823
Brandic, I. (2014). SLAs as a Foundation of Autonomic Cloud Management. Envisage Project Plenary Meeting 2014, Oslo, Norway. Invited.
HDL: 20.500.12708/85822
Brandic, I. (2014). Time and Space Capacity Planning in Virtualized Infrastructures. Umeå University, Umeå, Sweden. Invited.
HDL: 20.500.12708/85797
Brandic, I. (2014). Reducing Energy Consumption through Cloud. Datacentres Europe Congress 2014 held at the Grimaldi Forum Monaco, Monaco. Invited.
HDL: 20.500.12708/85796

2013

Brandic, I. (2013). Democratizing Science through self-manageable Clouds. Leibniz-Rechenzentrum, Garching, Germany. Invited.
HDL: 20.500.12708/85622
Borgetto, D., Maurer, M., Da Costa, G., Pierson, J.-M., Brandic, I., Lucanin, D. (2013). Collaborations with Univ. Toulouse: Energy-efficient and SLA-Aware Management of IaaS Clouds. Energy Efficiency in Large Scale Distributed Systems conference, EE-LSDS 2013, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85345 / Project: FoSII
Brandic, I. (2013). Utilization of SLAs for Achievement of Energy Efficient Clouds. Workshop SLA Management in Cloud computing at ComPAS 2013, Grenoble, France. Invited.
HDL: 20.500.12708/85539
Brandic, I. (2013). Reducing Energy Consumption by using Clouds. 3rd International Conference on Cloud Computing and Services Science (CLOSER 2013) and 2nd International Conference on Smart Grids and Green IT Systems (SMARTGREENS), Aachen, Germany. Invited.
HDL: 20.500.12708/85556
Brandic, I. (2013). Reducing Energy Consumption and Improving Bioinformatics with Clouds. Austrian Computer Science Day 2013, IST Austria, Klosterneuburg, Austria, Austria. Invited.
HDL: 20.500.12708/85561
Brandic, I. (2013). Autonomic and SLA aware Cloud management. First International Workshop on Testing The Cloud, TTC 2013 co-located with ISSTA 2013, Lugano, Switzerland. Invited.
HDL: 20.500.12708/85581
Brandic, I. (2013). MENSCH-MASCHINE-INTERAKTION - Haben auch Computer eigene Identitäten? Europäisches Forum Alpbach: Arbeitskreis 10: Identität 2.0: der digitale Mensch, Alpbach, Österreich, Austria. Invited.
HDL: 20.500.12708/85605
Brandic, I. (2013). Sicherheit in der Cloud. Datenschutzseminar für JournalistInnen, Haus der Europäischen Union, Wien, Österreich, Austria. Invited.
HDL: 20.500.12708/85582
Brandic, I. (2013). Autonomic and SLA aware Cloud management. 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013, Timisoara, Romania. Invited.
HDL: 20.500.12708/85709
Brandic, I. (2013). Democratization in Science and Technology through Cloud Computing. Seminar at ORT Braude College, Karmiel, Israel. Invited.
HDL: 20.500.12708/85650
Brandic, I. (2013). Democratization in Science and Technology through Cloud Computing. Danube Region Business Forum, ICT - New Developments in Information and Communication Technology, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85621

2012

Brandic, I. (2012). Applying Energy efficiency to bioinformatic workflows. COST FG “Energy and QoS-aware Workload Management in Clouds” meeting - COST Action IC0804, Rennes, France. Invited.
HDL: 20.500.12708/85339
Brandic, I. (2012). Challenges in Establishment of Open Cloud Markets. HPC Advisory Council Switzerland Conference 2012, Lugano, Switzerland. Invited.
HDL: 20.500.12708/85328 / Project: FoSII
Brandic, I. (2012). Knowledge Management in Energy Efficient Clouds. Collaborative and Autonomic Green computing, CAGing 2012 - a track of 21st WETICE, Toulouse, France. Invited.
HDL: 20.500.12708/85365
Brandic, I. (2012). Managing Energy Efficient Hybrid Clouds. University of Split, Austria. Invited.
HDL: 20.500.12708/85366
Brandic, I. (2012). Cloud Computing - Selbstbedienung nach Bedarf. Ernst Young: Let’s Talk Audit!, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85371
Brandic, I. (2012). Optimizing Bioinformatics Workflows for Data Analysis Using Cloud Management Techniques. Fourth Annual Bio-IT World Europe Conference Expo 2012, Track: Cloud-Based Bioinformatics, InterContinental, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85394 / Project: FoSII
Brandic, I. (2012). What are the costs of making HPC applications energy efficient? Joint Cost 804 and Cost 805 Meeting, Cork, Ireland. Invited.
HDL: 20.500.12708/85397
Brandic, I. (2012). Cloud Computing: Reducing Energy Consumption while Improving Bioinformatics? CRG Core Facilities Technology Symposium: “Cloud computing: democratization of high-throughput data analysis,” Barcelona, Spain. Invited.
HDL: 20.500.12708/85399
Brandic, I. (2012). Cloud Computing vs. Energy Efficiency? IKT Frauen vernetzt, Hewlett-Packard, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85417
Brandic, I. (2012). Cloud Computing: Reducing Energy Consumption while Improving Bioinformatics? Seminar Talk at Kurt Gödel Research Center, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85418
Brandic, I. (2012). Challenges in Establishing International Research in Vienna. Reception for International Scientists and Researchers in Vienna, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85396

2011

Brandic, I. (2011). Autonomic Management of Clouds. University of Messina, Messina, Italy. Invited.
HDL: 20.500.12708/85121
Brandic, I. (2011). Time shared VMs and monitoring of time shared VMs. Cost Action Meeting, 2nd Year Workshop (IC0804 on Energy Efficient Large Scale Distributed Systems), Budapest, Hungary. Invited.
HDL: 20.500.12708/85126
Brandic, I. (2011). Knowledge Management in Energy-Efficient Clouds (at Focus Group on Energy and QoS-aware Workload Management in Clouds). Cost Action Meeting, 2nd Year Workshop (IC0804 on Energy Efficient Large Scale Distributed Systems), Budapest, Hungary. Invited.
HDL: 20.500.12708/85127
Brandic, I. (2011). Energy efficient Clouds. Secure Business Austria, Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85128 / Project: FoSII
Brandic, I. (2011). Energy Efficient Autonomic Management of Clouds. Karlsruhe Service Research Institute, Karlsruhe, Germany. Invited.
HDL: 20.500.12708/85110
Brandic, I. (2011). Energy Efficient Clouds. Computer and Automation Research Institute, Hungarian Academy of Sciences (SZTAKI), Budapest, Hungary. Invited.
HDL: 20.500.12708/85148 / Project: FoSII
Brandic, I. (2011). Self-adaptable, energy efficient Clouds. Symposium “Cloud Computing in Life Sciences,” University of Vienna, Austria, Austria. Invited.
HDL: 20.500.12708/85165 / Project: FoSII
Brandic, I. (2011). Establishing and Managing Open Cloud Markets. ISC Cloud 2011, Mannheim, Germany. Invited.
HDL: 20.500.12708/85238 / Project: FoSII
Brandic, I. (2011). Energy Efficient Clouds. Austrian Society for Rigorous Systems Engineering (ARiSE) workshop together with PUMA workshop, Traunkirchen, Austria, Austria. Invited.
HDL: 20.500.12708/85240 / Project: FoSII
Brandic, I. (2011). Simulation Techniques for Knowledge Management in Clouds programs for advancement of women at TU Vienna. Minisymposium “Women in Simulation Technology and Science” at SimTech 2011, Stuttgart, Germany. Invited.
HDL: 20.500.12708/85125 / Project: FoSII
Mastelic, T., Emeakaroha, V. C., Maurer, M., Brandic, I. (2011). Application based cloud monitoring. Cost Action IC0804 on Energy Efficiency in Large Scale Distributed Systems, Thessaloniki, Greece. Invited.
HDL: 20.500.12708/85343
Mastelic, T., Brandic, I., Emeakaroha, V. C., Maurer, M., Breskovic, I. (2011). Energy efficiency in Cloud and related security issues. Dagstuhl Seminar 11492: Secure Architectures in the Cloud, Dagstuhl, Germany. Invited.
HDL: 20.500.12708/85344
Brandic, I. (2011). Foundations of self-governing ICT. IKT-Call 2012 des WWTF: TUW-Proposers’ Day, TU Wien, Austria, Austria. Invited.
HDL: 20.500.12708/85378

2010

Maurer, M., Emeakaroha, V. C., Brandic, I., Altmann, J. (2010). Cost and Benefit of the SLA Mapping Approach for Defining Standardized Goods in Cloud Computing Markets. International Conference on Utility and Cloud Computing (UCC 2010) in conjunction with ICoAC 2010, Chennai, India.
HDL: 20.500.12708/85116 / Project: FoSII
Brandic, I. (2010). Cloud Computing. IBM Smart Talk, TU Wien, Austria, Austria. Invited.
HDL: 20.500.12708/86060
Brandic, I. (2010). Managing the Clouds. Österreichische Computer Gesellschaft und Institut für Scientific Computing, Univ. Wien, Wien, Österreich, Austria. Invited.
HDL: 20.500.12708/85021
Brandic, I. (2010). Simulating Autonomic SLA Enactment in Clouds using Case Based Reasoning. Cost Action Meeting IC0804 Coimbra, Coimbra, Portugal. Invited.
HDL: 20.500.12708/84997
Brandic, I. (2010). Autonomic Resource Management in Clouds Considering Cloud-based Resource Monitoring and Knowledge Management. Seoul National University, Seoul, Korea (the Republic of). Invited.
HDL: 20.500.12708/84996 / Project: FoSII
Maurer, M., Brandic, I. (2010). Towards knowledge management in Clouds - prevention of SLA violations vs. minimization of energy consumption. COST Action: IC0804 FG (WG 3) and DB meeting, Lyon, France. Invited.
HDL: 20.500.12708/84995
Brandic, I. (2010). Using SLA-Mapping to Increase Market Liquidity. Dagstuhl Seminar 10021: Service-Oriented Architecture and (Multi-) Agent SystemsTechnology, Dagstuhl, Germany. Invited.
HDL: 20.500.12708/84985

2009

Brandic, I. (2009). Towards Self-adaptable Cloud Services. Cost Action Meeting IC0804 - Institut de Recherche en Informatique de Toulouse, Toulouse, France. Invited.
HDL: 20.500.12708/84902

2008

Brandic, I. (2008). Towards a Meta-Negotiation Architecture for SLA-Aware Grid Services. M. S. Ramaiah Institute of Technology, Bangalore, India, Non-EU. Invited.
HDL: 20.500.12708/84805
Brandic, I. (2008). Challenges in Managing QoS-aware Grid Workflows. University of Melbourne, Department of Computer Science and Software Engineering, Melbourne, Australia, Non-EU. Invited.
HDL: 20.500.12708/84748

Theses

2026

Kienast, H. (2026). Enhancing QAOA using QRAC encoding for combinatorial optimization problems [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2026.133027 / Download: PDF

2025

Fahringer, J. (2025). Decentralized epistemic-based communication protocols for volatile edge systems [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.128844 / Download: PDF
Briem, L. F. (2025). Towards resource efficient code generation through dynamic early exits in LLMs [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.127160 / Download: PDF
Leitzinger, L. (2025). A multi objective discrete particle swarm optimization algorithm for mobile offloading [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.92761 / Download: PDF
Ziller, T. M. (2025). A dynamic routing approach for sustainable language model inference [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.122663 / Download: PDF
Gugleta, M. (2025). Towards livestock location prediction in rural areas using federated learning and edge computation [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.126364 / Download: PDF
Hofstätter, D. (2025). Increasing trustworthiness of edge AI by adding uncertainty estimation to object detection [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.129242 / Download: PDF
Sabanovic, A. (2025). Optimizing energy efficiency in multimodal learning for automated vehicle damage evaluation [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.132145 / Download: PDF
Rettig, P. (2025). Adaptive federated zeroth-order fine-tuning of large language models on resource-constrained devices [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.129322 / Download: PDF
Oberauner, J. (2025). Dynamic power management for edge AI : a sustainable self-adaptive approach [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.122574 / Download: PDF
Hubinger, H. (2025). Sounding qubits : composer classification using hybrid classical-quantum systems [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.118766 / Download: PDF

2024

May, D. B. (2024). Neural network splitting for energy-efficient edge-AI [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2025.111983 / Download: PDF
Stefitz, A. (2024). Anomaly detection in redundant sensor systems : a comparative study using photovoltaic power plant data [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2024.120232 / Download: PDF
Suchan, D. (2024). Hyperparameter tuning for quantum machine learning [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2024.117780 / Download: PDF
Jandl, D. (2024). Benchmarking of quantum edge on the computational continuum [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2024.113764 / Download: PDF
Eder, M. (2024). Data-driven methods for climate change modelling in hydrology : use case for deep learning in rainfall-runoff simulation [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2024.113024 / Download: PDF

2023

Luger, D. (2023). Cost-aware neural network splitting and dynamic rescheduling for edge intelligence [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2023.108325 / Download: PDF
Herbst, S. (2023). Beyond 0’s and 1’s: Exploring the impact of noise, data encoding, and hyperparameter optimization in quantum machine learning [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2023.111504 / Download: PDF
Maliakel, P. J. (2023). Achieving sustainable federated edge analytics by using incomplete data [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2023.108307 / Download: PDF
Pruckovskaja, V. (2023). A systematic evaluation of federated learning algorithms in the context of industrial applications [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2023.96643 / Download: PDF
Falzberger, A. (2023). Energy-efficient IoT by continual learning for data reduction in wireless sensor networks [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2023.99320 / Download: PDF

2022

Kanatbekova, M. (2022). Edge data management with symbolic representation [Diploma Thesis, Technische Universität Wien; University of L’Aquila]. reposiTUm.
DOI: 10.34726/hss.2022.106716 / Download: PDF

2021

Lujić, I. (2021). Foundations for sustainable and trustworthy edge data analytics [Dissertation, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2022.103106 / Download: PDF

2020

Lindner, M. (2020). Priority based mobile edge cloud offloading (PBMECO) algorithm for latency sensitive applications [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2020.73831 / Download: PDF
Schwarz, B. (2020). Self-elective model branching in online machine learning on the edge [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2020.80689 / Download: PDF

2019

Eder, M. (2019). Failure tolerance for edge offloading based on model checking [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2019.66661 / Download: PDF
Schaumüller, O. (2019). Quality of service for cloud services using control theory : quality of service for VoIP cloud services using PI controller based on horizontal scalability [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2019.57479 / Download: PDF

2018

Rohrer, F. (2018). Multi-objective user and virtual machine assignment using biogeography-based optimization [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2018.54569 / Download: PDF

2016

Lučanin, D. (2016). Energy efficient cloud control and pricing in geographically distributed data centers [Dissertation, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2016.26105 / Download: PDF
Egger, A. (2016). Cost aware resource management in distributed cloud data centers [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2016.26460 / Download: PDF

2015

Mastelić, T. (2015). Scalable monitoring for energy efficient cloud environments [Dissertation, Technische Universität Wien]. reposiTUm.
HDL: 20.500.12708/78469
Farokhi, S. (2015). Quality of service control mechanisms in cloud computing environments [Dissertation, Technische Universität Wien]. reposiTUm.
HDL: 20.500.12708/79895

2014

Paudel, S. (2014). Security engineering and software development for critical infrastructure IT in the cloud [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2014.22617 / Download: PDF
Grygorenko, D. (2014). Cost-based decision making in cloud environments using Bayesian networks [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2014.24966 / Download: PDF
Patonai, P. (2014). Application usage profiling and forecasting in shared cloud systems [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2014.25686 / Download: PDF
Zaslavska, K. (2014). Performance analysis of big data tools based on benchmarks for store sales forecasting [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2014.24967 / Download: PDF

2009

Music, D. (2009). VieSLAF : increasing the versatility of Grid QoS by applying SLA-mapping techniques [Diploma Thesis, Technische Universität Wien]. reposiTUm.
HDL: 20.500.12708/186088

Awards

Daniel Bernhard May: Science Award
2025 / TÜV AUSTRIA Group / Austria / Website
Sabrina Herbst: Netidee Scholarship
2025 / NetIdee Foundation / Austria / Website
Sabrina Herbst: Andreas Dieberger-Peter Skalicky Scholarship
2025 / Andreas Dieberger – Peter Skalicky Scholarship Foundation / Austria
Daniel Bernhard May: netidee Scholarship
2024 / Internet Foundation Austria / Austria / Website
Ivona Brandic: Best Paper Award at the premier annual conference on Utility and Cloud Computing, 16th IEEE/ACM UCC
2023 / UCC 2023 / USA
Sabrina Herbst: Siemens Awards for Excellence
2023 / Siemens AG / Austria
Ivona Brandic: Rucon - Runtime Control in Multi Clouds
2016 / START-Programm / Austria
Ivona Brandic: Best Paper Award:"M4Cloud - Generic Application Level Monitoring for Resource-Shared Cloud Environments"; T. Mastelic, V. Emeakaroha, M. Maurer, I. Brandic; at the 2nd International Conference on Cloud Computing and Services Science, CLOSER 2012
2012 / INSTICC, CLOSER / Portugal
Ivona Brandic: Wissenschaftspreis der TU Wien für das Forschungsprojekt "HALEY-Holistic Energy Efficient Approach for the Management of Hybrid Clouds"
2011 / Wissenschaftspreis
Ivona Brandic: MiA-Award 2011 für Wissenschaft & Forschung
2011 / Austria
Ivona Brandic: Best Student Paper Award:Towards Self-Awareness in Cloud Markets: A Monitoring Methodology; Ivan Beskovic, Christian Haas, Simon Caton, Ivona Brandic
2011 / IEEE Computer Society / Australia
Ivona Brandic: Vienna Science and Technology Fund (WWTF) - ICT call 2008
2008 / Austria

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