Information Systems Engineering
Information Systems Engineering provides foundational and advanced techniques, algorithms, design and engineering approaches to model complete lifecycles of data-intensive and distributed information systems.
Contact
- Schahram Dustdar, Coordinator
Research Topics
- Compilers, Languages, and Middleware Engineering
- Programming Systems and Tools
- Distributed Systems
- High Performance Computing
- Data Analytics and Machine Learning
- Business Informatics
- E-commerce
- Informatics Didactics
About
Information Systems Engineering provides foundational and advanced techniques, algorithms, design and engineering approaches to model complete lifecycles of data-intensive and distributed information systems.
Information systems play a crucial role in many forms of organizations, and act as a facilitator and enabler for the digitalization of personal and social spaces. As such, information systems became the underlying “operating system” of our society.
Typical activities in the lifecycle of information systems are fundamental requirements elicitation as well as analysis and design of systems, their implementation, as well as subsequent execution and maintenance activities. Importantly, information systems engineering is not limited to technologies and methodological approaches, but comprises technical solutions as well as social and business-related implications of information systems. Therefore, information systems engineering can also act as an interface between computer science and other research disciplines (technical and non-technical) as well as business related activities.
Research Units
Six of the faculty’s twenty-six research units are primarily focused on topics related to Information Systems Engineering. Visit their pages to learn about current projects, publications, courses, and the people involved.
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Software Engineering
E194-01 / Head: Maria Christakis -
Distributed Systems
E194-02 / Head: Schahram Dustdar -
Business Informatics
E194-03 / Head: Dominik Bork -
Data Science
E194-04 / Head: Allan Hanbury -
Compilers and Languages
E194-05 / Head: M. Anton Ertl -
Machine Learning
E194-06 / Head: Thomas Gärtner
Below is a small selection of recent research activities related to Information Systems Engineering. To learn more, visit the pages of the research units listed above.
Recent Projects
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Securing Agentic AI in Software Engineering Tasks: Attack Surfaces, Threat Models, and Defenses
2026 – 2027 / Austrian Exchange Service (OeAD) -
Integrating Physical Modeling, AI, and Human Expertise for Energy-Efficient Tunnel Kiln Brick Production
2025 – 2028 / Austrian Research Promotion Agency (FFG) -
Types4Strings: Types for Strings
2024 – 2027 / Austrian Science Fund (FWF)
Publication: 221009 -
Operational data-driven SOH estimation and prediction for maritime battery system
2024 – 2025 / AVL List GmbH -
Intent-based data operation in the computing continuum
2024 – 2026 / European Commission
Publications: 195922 / 199889 / 201667 / 203889 / 204055 / 204350 / 208695 / 208717 / 208559 / 208718 / 208042 / 209928 / 209929 / 211104 / 211528 / 211167 / 213464 / 213934 / 216047 / 216048 / 216051 / 217905 / 219274 / 221010 / 222720 / 223085 / 223676 / 223680 / 225284 / 225669 / 227167 / 227082 -
Cloud Open Source Research Mobility Network
2023 – 2026 / European Commission
Publication: 226229 -
Trustworthy, Energy-Aware federated DAta Lakes along the Computing Continuum
2022 – 2025 / European Commission
Publications: 177474 / 189351 / 189044 / 189016 / 189544 / 190613 / 194409 / 195539 / 195922 / 195912 / 195917 / 195920 / 195914 / 195925 / 195916 / 196065 / 204916 / 196508 / 198064 / 200891 / 199515 / 201676 / 201665 / 204057 / 208695 / 208717 / 208718 / 208042 / 210205 / 210201 / 209777 / 211104 / 211007 / 212574 / 213464 / 213939 / 214607 / 216046 / 216051 / 216533 / 217604 / 217844 / 217610 / 217609 / 217887 / 219279 / 219274 / 221010 / 226154 / 227601 / 227637 / 227630 / 227817 / 227816 / 227838 / 227835 -
OPC UA Rule Editor 2.0
2022 / Siemens AG -
OPC UA Rule Editor
2021 / Siemens AG
Publication: 190612 -
fAIr by design – solutions for discrimination reduction in AI de-velopment
2021 – 2024 / Austrian Research Promotion Agency (FFG) -
EGI Advanced Computing for EOSC
2021 – 2023 / European Commission -
Blockchain Technologies for the Internet of Things
2020 – 2022 / Federal Ministry of Science, Research and Economy (bm:wfw)
Publications: 137780 / 137781 / 176500 / 58438 / 58439 / 58542 / 58788 -
What Can You Trust in the Large and Noisy Web?
2020 – 2022 / No funding agency -
Protecting Sensitive Data in the Computing Continuum
2020 – 2022 / European Commission
Publications: 136154 / 136519 / 137920 / 201665 / 58446 / 58486 / 58540 / 58547 / 58572 / 58800 / 80255 / 101798 -
An open, trusted fog computing platform facilitating the deployment, orchestration and management of scalable, heterogeneous and secure IOT services and cross-cloud apps
2020 – 2022 / European Commission
Publications: 177093 / 177092 / 190652 / 201904 / 201905 / 58534 / 87224 -
STARCloud
2019 – 2021 / European Commission -
WellFort
2019 – 2022 / Austrian Research Promotion Agency (FFG) -
Visual History of the Holocaust: Rethinking Curation in the Digital Age
2019 – 2023 / European Commission
Publications: 150286 / 150288 / 150284 / 153859 / 192539 -
Vienna Informatics Living Lab
2018 – 2019 / Vienna Business Agency (WAW) -
Semantic Processing of Security Event Streams
2018 – 2021 / Austrian Science Fund (FWF)
Recent Publications
- A Metric for Assessing, Comparing, and Predicting the Performance of Autonomous RFID-Based Inventory Robots for Retail / Gaston, B., Casamayor Pujol, V., Lopez-Soriano, S., & Pous, R. (2022). A Metric for Assessing, Comparing, and Predicting the Performance of Autonomous RFID-Based Inventory Robots for Retail. IEEE Transactions on Industrial Electronics, 69(10), 10354–10362. https://doi.org/10.1109/tie.2021.3128917
- AI for next generation computing: Emerging trends and future directions / 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. https://doi.org/10.1016/j.iot.2022.100514
- Towards Interoperable Metamodeling Platforms: The Case of Bridging ADOxx and EMF / Bork, D., Anagnostou, K., & Wimmer, M. (2022). Towards Interoperable Metamodeling Platforms: The Case of Bridging ADOxx and EMF. In X. Franch, G. Poels, F. Gailly, & M. Snoeck (Eds.), Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings (pp. 479–497). Springer Cham. https://doi.org/10.1007/978-3-031-07472-1_28
- Review of Automated Vulnerability Analysis of Smart Contracts on Ethereum / Rameder, H., di Angelo, M., & Salzer, G. (2022). Review of Automated Vulnerability Analysis of Smart Contracts on Ethereum. Frontiers in Blockchain, 5. https://doi.org/10.3389/fbloc.2022.814977
- Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments / Sah, D. K., Poongodi, M., Donta, P. K., Hamdi, M., Cengiz, K., Kamruzzaman, M. M., & Rauf, H. T. (2022, March). Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments. IEEE Internet of Things Magazine, 5(1), 62–66. https://doi.org/10.1109/iotm.001.2100116
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An Empirical Investigation of Command-Line Customization
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Schröder, M., & Cito, J. (2022). An Empirical Investigation of Command-Line Customization. Empirical Software Engineering, 27(2), Article 30. https://doi.org/10.1007/s10664-021-10036-y
Download: PDF (1.85 MB) - A Simple Solution to Locate Groups of Items in Large Retail Stores Using an RFID Robot / Casamayor Pujol, V., Gaston, B., Lopez-Soriano, S., Alajami, A. A., & Pous, R. (2022). A Simple Solution to Locate Groups of Items in Large Retail Stores Using an RFID Robot. IEEE Transactions on Industrial Informatics, 18(2), 767–775. https://doi.org/10.1109/tii.2021.3080670
- LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis / Schedl, M., Brandl, S., Lesota, O., Parada-Cabaleiro, E., Penz, D., & Rekabsaz, N. (2022). LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. In ACM SIGIR Conference on Human Information Interaction and Retrieval. CHIIR ’22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany. ACM. https://doi.org/10.1145/3498366.3505791
- Roadmap for Edge AI: A Dagstuhl Perspective / Ding, A. Y., Peltonen, E., Meuser, T., Aral, A., Becker, C., Dustdar, S., Hiessl, T., Kranzlmüller, D., Liyanage, M., Maghsudi, S., Mohan, N., Ott, J., Rellermeyer, J. S., Schulte, S., Schulzrinne, H., Solmaz, G., Tarkoma, S., Varghese, B., & Wolf, L. (2022). Roadmap for Edge AI: A Dagstuhl Perspective. ACM SIGCOMM Computer Communication Review, 52(1), 28–33. https://doi.org/10.1145/3523230.3523235
- Dependent Function Embedding for Distributed Serverless Edge Computing / Deng, S., Zhao, H., Xiang, Z., Zhang, C., Jiang, R., Li, Y., Yin, J., Dustdar, S., & Zomaya, A. Y. (2022). Dependent Function Embedding for Distributed Serverless Edge Computing. IEEE Transactions on Parallel and Distributed Systems, 33(10), 2346–2357. https://doi.org/10.1109/tpds.2021.3137380
- Darwin-S: A Reference Software Architecture for Brain-Inspired Computers / Deng, S., Lv, P., Jin, O., Dustdar, S., Li, Y., Ma, D., Wu, Z., & Pan, G. (2022). Darwin-S: A Reference Software Architecture for Brain-Inspired Computers. Computer, 55(5), 51–63. https://doi.org/10.1109/mc.2022.3144397
- Secure and Efficient Decentralized Federated Learning with Data Representation Protection / Qin, Z., Deng, S., Yan, X., Dustdar, S., & Zomaya, A. Y. (2022). Secure and Efficient Decentralized Federated Learning with Data Representation Protection. arXiv. https://doi.org/10.48550/arXiv.2205.10568
- Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration / Kokkonen, H., Loven, L., Hossein Motlagh, N., Partala, J., Gonzalez-Gil, A., Sola, E., Angulo, I., Liyanage, M., Leppänen, T., Nguyen, T., Kostakos, P., Bennis, M., Tarkoma, S., Dustdar, S., Pirttikangas, S., & Riekki, J. (2022). Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration. arXiv. https://doi.org/10.48550/arXiv.2205.01423
- Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware / Sudharsan, B., Sundaram, D., Patel, P., Breslin, J. G., Ali, M. I., Dustdar, S., Zomaya, A., & Ranjan, R. (2022). Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. arXiv. https://doi.org/10.48550/arXiv.2204.10183
- AI for Next Generation Computing: Emerging Trends and Future Directions / 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. https://doi.org/10.48550/arXiv.2203.04159
- Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates / Zhao, H., Deng, S., Chen, F., Yin, J., Dustdar, S., & Zomaya, A. Y. (2022). Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates. arXiv. https://doi.org/10.48550/arXiv.2204.04371
- High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation / Bartelucci, N., Bellavista, P., Pusztai, T., Morichetta, A., & Dustdar, S. (2022). High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation. In L. Mashayekhy, S. Schulte, V. Cardellini, B. Kantarci, Y. Simmhan, & B. Varghese (Eds.), 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC). IEEE. https://doi.org/10.1109/icfec54809.2022.00017
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Specification and Operation of Privacy Models for Data Streams on the Edge
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Sedlak, B., Murturi, I., & Dustdar, S. (2022). Specification and Operation of Privacy Models for Data Streams on the Edge. In L. Mashayekhy, S. Schulte, V. Cardellini, B. Kantarci, Y. Simmhan, & B. Varghese (Eds.), 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC). IEEE. https://doi.org/10.1109/icfec54809.2022.00018
Project: FogProtect (2020–2022) - Quantum Enabled Continuum Enterprise Computing / Dustdar, S. (2022). Quantum Enabled Continuum Enterprise Computing. 2nd SCORE Workshop: Quantum Computing, Sevilla, Spain. http://hdl.handle.net/20.500.12708/87322
- DT4GITM - A Vision for a Framework for Digital Twin enabled IT Governance / Poels, G., Proper, H. A., & Bork, D. (2022). DT4GITM - A Vision for a Framework for Digital Twin enabled IT Governance. In 55th Hawaii International Conference on System Sciences (HICSS´22) (pp. 6626–6635). AIS. http://hdl.handle.net/20.500.12708/58520
Recent Theses
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Bias in medical recommendations: Prompting vs. fine-tuning of large language models
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Pavlovic, D. (2026). Bias in medical recommendations: Prompting vs. fine-tuning of large language models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131812
Download: PDF (1.12 MB) -
Evaluating SAR-to-optical image translation using pix2pix with different loss functions
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Wagner, D. (2026). Evaluating SAR-to-optical image translation using pix2pix with different loss functions [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.123201
Download: PDF (2.04 MB) -
Cross-Blockchain Data Storage
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Sederl, J. (2026). Cross-Blockchain Data Storage [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.76200
Download: PDF (2.85 MB) -
Message Passing on the Edge: Going Beyond Triangles
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Böhm, J. (2026). Message Passing on the Edge: Going Beyond Triangles [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137416
Download: PDF (526 KB) -
An Active Conflict Awareness Visualization for Collaborative Software Development
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Mörbauer, T. (2026). An Active Conflict Awareness Visualization for Collaborative Software Development [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.140094
Download: PDF (3.73 MB) -
A Mind-Driven VR Serious Game Design, Implementierung und Evaluierung einer BCI-gesteuerten Anwendung basierend auf Motor Imagery im virtuellen Raum für therapeutische Anwendung bei ADHS Patienten
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Röhrling, L. (2026). A Mind-Driven VR Serious Game Design, Implementierung und Evaluierung einer BCI-gesteuerten Anwendung basierend auf Motor Imagery im virtuellen Raum für therapeutische Anwendung bei ADHS Patienten [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.140306
Download: PDF (11.7 MB) -
Evaluating the impact of faults on the Quality of Service of edge-cloud applications
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Sepin, S. (2026). Evaluating the impact of faults on the Quality of Service of edge-cloud applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.133116
Download: PDF (5.94 MB) -
Understanding DeFi Yield Aggregators: Protocol Mechanisms and Transaction Network Structures
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Zarinehbaf Asadi, K. (2026). Understanding DeFi Yield Aggregators: Protocol Mechanisms and Transaction Network Structures [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.130390
Download: PDF (7.83 MB) -
Efficient Constraint Validation using Formal Methods in Combinatorial Testing
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Wagner, M. (2026). Efficient Constraint Validation using Formal Methods in Combinatorial Testing [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.127625
Download: PDF (6.62 MB) -
Federated Learning in Edge Computing Settings in the Medical Domain
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Melnychyn, O. (2026). Federated Learning in Edge Computing Settings in the Medical Domain [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.129963
Download: PDF (2.63 MB) -
A Fair Multi-stakeholder Job Market Recommender Leveraging Personality
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Hecht, S. G. (2026). A Fair Multi-stakeholder Job Market Recommender Leveraging Personality [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.80420
Download: PDF (6.69 MB) -
Automating AI System Patterns and Components Extraction from Scientific Publications
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Jugo, D. (2026). Automating AI System Patterns and Components Extraction from Scientific Publications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131866
Download: PDF (1.71 MB) -
Hierarchical time series forecasting of daily ambulance demand
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Mexhuani, B. (2026). Hierarchical time series forecasting of daily ambulance demand [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.135562
Download: PDF (1.25 MB) -
Database Replication with Persistent Citation Functionality
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Höller, M. (2026). Database Replication with Persistent Citation Functionality [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.131801
Download: PDF (1.06 MB) -
Data-Centric AI for Conceptual Modeling: Cleansed Data and GNN-LLM based Recommender for UML Class Diagrams
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Djelic, A. (2026). Data-Centric AI for Conceptual Modeling: Cleansed Data and GNN-LLM based Recommender for UML Class Diagrams [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.133242
Download: PDF (2.17 MB) -
Pinging the Internet : a study on efficient long-term storage, analysis and visualisation
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Strobl, S. (2026). Pinging the Internet : a study on efficient long-term storage, analysis and visualisation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.140042
Download: PDF (3.45 MB) -
Visualization of Symbol-Level Code Changes Across Version Control History
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Mategka, A. (2026). Visualization of Symbol-Level Code Changes Across Version Control History [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.139575
Download: PDF (3.46 MB) -
Accessibility in Model Engineering: Large Model Comprehension and Auditory Conversational Agent
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Mischak, M. (2026). Accessibility in Model Engineering: Large Model Comprehension and Auditory Conversational Agent [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.124560
Download: PDF (1.84 MB) -
Optimizing Distributed LLM Inference for Heterogeneous Workers through Dynamic Graph Partitioning
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Kitzberger, G. (2026). Optimizing Distributed LLM Inference for Heterogeneous Workers through Dynamic Graph Partitioning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.138984
Download: PDF (1.29 MB) -
An Architecture for Web-Based Distributed LLM Inference
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Kitzberger, G. (2026). An Architecture for Web-Based Distributed LLM Inference [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.138985
Download: PDF (1.41 MB)
Recent Awards
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Schahram Dustdar:
Paper “Exploring the Potential of Distributed Computing Continuum Systems” (authors: Praveen Kumar Donta, Ilir Murturi, Victor Casamayor Pujol, Boris Sedlak, Schahram Dustdar), featured in a special edition of Computers entitled “Editor’s Choice Articles”
2025 / MDPI Computers / Switzerland -
Schahram Dustdar:
2024 Highly Ranked Scholar by ScholarGPS: Place in the top 0.05% of all scholars worldwide
2025 / ScholarGPS / USA -
Schahram Dustdar:
WILEY Top Viewed Article in Software: Practice and Experience: Raith P., Rausch T., Furutanpey A., Dustdar S. (2023) “faas-sim: A trace-driven simulation framework for serverless edge computing platforms” (Among work published in Software: Practice and Experience between January 1 - December 31, 2023, up to 12 months after publication)
2025 / USA -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2024
2025 / Software and Systems Modeling Journal / USA -
Schahram Dustdar:
President
2024 / International Artificial Intelligence Industry Alliance (AIIA) / China -
Dominik Bork:
Eclipse Cloud DevTools Contributor Award
2023 / Eclipse Foundation / USA -
Dominik Bork:
Best Student Paper Award at EDOC 2023
2023 / 27th International EDOC Conference / Netherlands -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2022
2023 / Software and Systems Modeling Journal / USA -
Dominik Bork:
Best Reviewer Award at the Modellierung 2022
2022 / Modellierung 2022 Conference Committee / Germany -
Dominik Bork:
Best Reviewer Award for the SoSyM Journal 2021
2022 / Software and Systems Modeling Journal / USA -
Schahram Dustdar:
EAI Fellow
2021 / EAI / Belgium / Website -
Schahram Dustdar:
IEEE TCI 2021 Distinguished Service Award
2021 / IEEE Technical Committee on the Internet / USA / Website -
Schahram Dustdar:
I2CICC Fellow for Contributions to Cognitive Informatics, Cognitive Computing, and General AI
2021 / I2CICC, University of Calgary, Canada / Canada / Website -
Nikolas Popper:
Österreicher des Jahres, Bereich Forschung
2021 / Österreicher:innen des Jahres / Austria / Website -
Schahram Dustdar:
Francqui Chair Professor at University of Namur
2021 / Belgium / Website -
Schahram Dustdar:
Asia-Pacific Artificial Intelligence Association (AAIA) President (2021-2023)
2021 / China -
Nikolas Popper:
Gerhart-Bruckmann-Preis 2021
2021 / Gerhart-Bruckmann-Preis / Austria / Website -
Schahram Dustdar:
Asia-Pacific Artificial Intelligence Association (AAIA) Fellow
2021 / China / Website -
Schahram Dustdar:
Research Excellence Award for delivering a keynote at the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021
2021 / CCGrid 2021 General Chair Prof. Rajkumar Buyya / Australia -
Schahram Dustdar:
Best Paper Award: Aslanpour M. S., Toosi A. N., Cicconetti C., Javadi B., Sbarski P., Taibi D., Assuncao M., Gill S. S., Gaire R., Dustdar S. (2021). Serverless Edge Computing: Vision and Challenges. 19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021), February 1-5, 2021, (Dunedin, New Zealand) online because of COVID-19 (Coronavirus)
2021 / Australia