Computational Sustainability E191-05
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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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.
The research Unit Computational Sustainability is part of the Institute of Computer Engineering.
Professors
Scientific Staff
Administrative Staff
Student Staff
Courses
2024W
- AI/ML in the Era of Climate Change / 194.125 / VU
- Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
- Hybrid Quantum - Classical Systems / 194.027 / VU
- Interdisciplinary Project in Data Science / 194.147 / PR
- Project in Computer Science 1 / 194.145 / PR
- Quantum Computing, Complexity Theory, and Algorithmics / 192.043 / VU
- Research Seminar for Ph.D. Students / 188.423 / SE
- Scientific Research and Writing / 193.052 / SE
- Sustainability in Computer Science / 194.155 / VU
2025S
- Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
- Data-intensive Computing / 194.048 / VU
- Research Seminar for Ph.D. Students / 188.423 / SE
- Scientific Research and Writing / 193.052 / SE
Projects
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Themis - Trustworthy and Sustainable Code Offloading
2024 – 2027 / Austrian Science Fund (FWF)
Publications: 210962 / 209931 / 209908 / 210967 / 211385 / 209415 / 211386 / 211308 / 211525 / 210997 / 216061 -
Virtual Shepherd
2024 – 2026 / Austrian Research Promotion Agency (FFG)
Publications: 209931 / 209908 / 210967 / 209415 / 211308 -
Optimierung der Energieeffizienz im IT-Betrieb von WienIT durch datengetriebene Ansätze & explorative Forschung
2024 – 2025 / WienIT GmbH -
Transprecise Edge Computing
2023 – 2027 / Austrian Science Fund (FWF)
Publications: 192170 / 204433 / 210962 / 209931 / 209908 / 210967 / 211385 / 211365 / 209415 / 210966 / 211526 / 211386 / 211308 / 211525 / 210997 / 216061 -
High-Performance integrated Quantum Computing
2023 – 2025 / Austrian Research Promotion Agency (FFG)
Publications: 204433 / 210962 / 211385 / 211365 / 210966 / 211526 / 211386 / 211525 / 210997 / 216061
Publications
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Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes
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Zilk, F., Tundo, A., De Maio, V., & Brandic, I. (2025). Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes. arXiv. https://doi.org/10.48550/arXiv.2504.15141
Projects: HPQC (2023–2025) / Themis FWF (2024–2027) / TRITON FWF (2023–2027)
Theses
2025
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A Dynamic Routing Approach for Sustainable Language Model Inference
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Ziller, T. M. (2025). A Dynamic Routing Approach for Sustainable Language Model Inference [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.122663
Download: PDF (2.11 MB) -
Decentralized Epistemic-based Communication Protocols for Intelligent Edge Systems
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Fahringer, J. (2025). Decentralized Epistemic-based Communication Protocols for Intelligent Edge Systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.128844
Download: PDF (1.87 MB) -
A Multi Objective Discrete Particle Swarm Optimization Algorithm for Mobile Offloading
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Leitzinger, L. (2025). A Multi Objective Discrete Particle Swarm Optimization Algorithm for Mobile Offloading [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.92761
Download: PDF (1.55 MB) -
Towards Resource Efficient Code Generation through Dynamic Early Exits in LLMs
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Briem, L. F. (2025). Towards Resource Efficient Code Generation through Dynamic Early Exits in LLMs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127160
Download: PDF (3.19 MB)
2024
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Neural network splitting for energy-efficient edge-AI
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May, D. B. (2024). Neural network splitting for energy-efficient edge-AI [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.111983
Download: PDF (1.72 MB) -
Anomaly detection in redundant sensor systems : a comparative study using photovoltaic power plant data
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Stefitz, A. (2024). Anomaly detection in redundant sensor systems : a comparative study using photovoltaic power plant data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.120232
Download: PDF (1.84 MB) -
Hyperparameter tuning for quantum machine learning
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Suchan, D. (2024). Hyperparameter tuning for quantum machine learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.117780
Download: PDF (3.26 MB) -
Data-driven methods for climate change modelling in hydrology : use case for deep learning in rainfall-runoff simulation
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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. https://doi.org/10.34726/hss.2024.113024
Download: PDF (4.59 MB) -
Benchmarking of quantum edge on the computational continuum
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Jandl, D. (2024). Benchmarking of quantum edge on the computational continuum [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.113764
Download: PDF (10.2 MB)
2023
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Beyond 0’s and 1’s: Exploring the impact of noise, data encoding, and hyperparameter optimization in quantum machine learning
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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. https://doi.org/10.34726/hss.2023.111504
Download: PDF (3.31 MB) -
Energy-efficient IoT by continual learning for data reduction in wireless sensor networks
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Falzberger, A. (2023). Energy-efficient IoT by continual learning for data reduction in wireless sensor networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.99320
Download: PDF (1.55 MB) -
A systematic evaluation of federated learning algorithms in the context of industrial applications
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Pruckovskaja, V. (2023). A systematic evaluation of federated learning algorithms in the context of industrial applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.96643
Download: PDF (3.45 MB) -
Cost-aware neural network splitting and dynamic rescheduling for edge intelligence
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Luger, D. (2023). Cost-aware neural network splitting and dynamic rescheduling for edge intelligence [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108325
Download: PDF (2.32 MB) -
Achieving sustainable federated edge analytics by using incomplete data
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Maliakel, P. J. (2023). Achieving sustainable federated edge analytics by using incomplete data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108307
Download: PDF (1.58 MB)
2022
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Edge data management with symbolic representation
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Kanatbekova, M. (2022). Edge data management with symbolic representation [Diploma Thesis, Technische Universität Wien; University of L’Aquila]. reposiTUm. https://doi.org/10.34726/hss.2022.106716
Download: PDF (2.1 MB)
2021
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Foundations for sustainable and trustworthy edge data analytics
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Lujić, I. (2021). Foundations for sustainable and trustworthy edge data analytics [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.103106
Download: PDF (5.04 MB)
2020
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Priority based mobile edge cloud offloading (PBMECO) algorithm for latency sensitive applications
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Lindner, M. (2020). Priority based mobile edge cloud offloading (PBMECO) algorithm for latency sensitive applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.73831
Download: PDF (1.84 MB) -
Self-elective model branching in online machine learning on the edge
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Schwarz, B. (2020). Self-elective model branching in online machine learning on the edge [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.80689
Download: PDF (3.36 MB)
2019
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Quality of service for cloud services using control theory : quality of service for VoIP cloud services using PI controller based on horizontal scalability
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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. https://doi.org/10.34726/hss.2019.57479
Download: PDF (2.63 MB) -
Failure tolerance for edge offloading based on model checking
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Eder, M. (2019). Failure tolerance for edge offloading based on model checking [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.66661
Download: PDF (2.09 MB)
2018
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Multi-objective user and virtual machine assignment using biogeography-based optimization
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Rohrer, F. (2018). Multi-objective user and virtual machine assignment using biogeography-based optimization [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.54569
Download: PDF (5.06 MB)
2016
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Cost aware resource management in distributed cloud data centers
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Egger, A. (2016). Cost aware resource management in distributed cloud data centers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.26460
Download: PDF (11 MB) -
Energy efficient cloud control and pricing in geographically distributed data centers
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Lučanin, D. (2016). Energy efficient cloud control and pricing in geographically distributed data centers [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.26105
Download: PDF (7.41 MB)
2015
- Quality of service control mechanisms in cloud computing environments / Farokhi, S. (2015). Quality of service control mechanisms in cloud computing environments [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79895
- Scalable monitoring for energy efficient cloud environments / Mastelić, T. (2015). Scalable monitoring for energy efficient cloud environments [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78469
2014
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Cost-based decision making in cloud environments using Bayesian networks
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Grygorenko, D. (2014). Cost-based decision making in cloud environments using Bayesian networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.24966
Download: PDF (6.39 MB) -
Security engineering and software development for critical infrastructure IT in the cloud
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Paudel, S. (2014). Security engineering and software development for critical infrastructure IT in the cloud [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.22617
Download: PDF (5.61 MB) -
Application usage profiling and forecasting in shared cloud systems
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Patonai, P. (2014). Application usage profiling and forecasting in shared cloud systems [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.25686
Download: PDF (4.54 MB) -
Performance analysis of big data tools based on benchmarks for store sales forecasting
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Zaslavska, K. (2014). Performance analysis of big data tools based on benchmarks for store sales forecasting [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.24967
Download: PDF (10.6 MB)
2009
- VieSLAF : increasing the versatility of Grid QoS by applying SLA-mapping techniques / Music, D. (2009). VieSLAF : increasing the versatility of Grid QoS by applying SLA-mapping techniques [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/186088
Awards
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Ivona Brandic:
Best Paper Award at the premier annual conference on Utility and Cloud Computing, 16th IEEE/ACM UCC
2023 / UCC 2023 / USA -
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
And more…
Soon, this page will include additional information such as reference projects, conferences, events, and other research activities.
Until then, please visit Computational Sustainability’s research profile in TISS .