Selected publications
Find a full list of publications at the bottom of the page.
Academic activities
Conference committees
- 2nd IEEE International Conference on Joint Cloud Computing 2021 (JCC 2021): Technical Program Committee
- 41st IEEE International Conference on Distributed Computing Systems (ICDCS’21): Technical Program Committee
- 6th ACM/IEEE Symposium on Edge Computing (SEC’21): Publicity Co-Chair
- 9th IEEE International Conference on Cloud Engineering (IC2E’21): Poster Chair
- 5th ACM/IEEE Symposium on Edge Computing (SEC’20): Publicity Co-Chair
Reviewer
I have been an official reviewer for
- Springer Artificial Intelligence Review
- IEEE Transactions on Cloud Computing
- IEEE Computer
- Springer Computing
- Future Generation Computer Systems
- Spring Journal of Grid Computing
- Informatik-Spektrum
- IEEE Internet Computing
- ACM Transactions on Internet Technology
- IEEE Transactions on Network and Service Management
- IEEE Transactions on Services Computing
- IEEE Transactions on Vehicular Technology
I have also served as subreviewer for
- IEEE International Conference on Distributed Computing Systems (ICDCS)
- International Conference on Software Engineering (ICSE)
- International World Wide Web Conference (TheWebConf)
- IEEE Software
- ACM Computing Surveys
- IEEE International Conference on Cloud Computing (CLOUD)
- USENIX Workshop on Hot Topics in Edge Computing (HotEdge)
- IEEE International Conference on Cloud Engineering (IC2E)
- IEEE International Conference on Service-Oriented System Engineering (SOSE)
- IEEE International Conference on Big Data Service and Applications (BigDataService)
- IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
- IEEE Global Communications Conference (GLOBECOM)
- IEEE International Conference on Fog Computing (ICFC)
Co-Supervised Theses
I have assited with the supervision of several Master and Bachelor theses.
- Improving Serverless Edge Computing for Network Bound Workload
Jacob Palecek, Diploma Thesis, in progress.
🏅 Winner of a 2020 Netidee grant - Container Scheduling on Heterogeneous Clusters using Machine Learning-based Workload Characterization
Philipp Raith, Diploma Thesis, in progress.
🏅 Winner of a 2020 Netidee grant - Locality-Aware Data Management for Serverless Edge Computing
Cynthia Marcelino, Diploma Thesis, in progress - Self-adaptive Distributed MQTT Middleware for Edge Computing Application
Andreas Bruckner, Diploma Thesis, in progress - Proactive Autoscaling for a Coding Assignment Submission System
Dominik Schubert, Bachelor Thesis, in progress - Energy-Efficient Load-Balancing in Portable Edge Cluster
Silvio Vasiljevic, Bachelor Thesis, TU Wien, 2020. - Optimized Container Scheduling for Serverless Edge Computing
[📄 pdf]
Alexander Rashed, Diploma Thesis, TU Wien, 2020. - Hangar: Decentralized Storage and Provisioning of System Environments
Valentin Bauer, Bachelor Thesis, TU Wien, 2019. - Using In-Memory Key-Value Stores as a Transport Mechanism for RPC
Ammar Voloder, Bachelor Thesis, TU Wien, 2019. - Predictive Analytics for Smart Homes using Serverless Edge Computing
[📄 pdf]
David Schneiderbauer, Diploma Thesis, TU Wien, 2019. - A Monitoring Infrastructure for Energy-Aware Cluster-Based Mobile Cloudlet
Jacob Palecek, Bachelor Thesis, TU Wien, 2019. - Enabling Mobility and Message Delivery Guarantees in Distributed MQTT Networks
[📄 pdf]
Manuel Geier, Diploma Thesis, TU Wien, 2019. - Performance Evaluation of Java IO Model
Philipp Raith, Bachelor Thesis, TU Wien, 2018.
Awards and Honors
- Finalist at the 2020 TU Wien Best Teaching Awards in the category “Best Teacher of the Faculty of Informatics”
- SEC 2019 best demo award for “A system for operating energy-aware cloudlets”
Publications
Journal articles
- Rausch, T., Rashed, A., & Dustdar, S. (2021). Optimized container scheduling for data-intensive serverless edge computing. Future Generation Computer Systems, 114, 259–271. [Paper] [Preprint]
- Gusev, M., Koteska, B., Kostoska, M., Jakimovski, B., Dustdar, S., Rausch, T., Scekic, O., Nastic, S., Ristov, S., & Fahringer, T. (2019). A Deviceless Edge Computing Approach for Streaming IoT Applications. IEEE Internet Computing, 23(1), 37–45. [Paper]
- Rausch, T., Dustdar, S., & Ranjan, R. (2018). Osmotic Message-Oriented Middleware for the Internet of Things. IEEE Cloud Computing, 5(2), 17–25. [Paper]
- Nastic, S., Rausch, T., Scekic, O., Dustdar, S., Gusev, M., Koteska, B., Kostoska, M., Jakimovski, B., Ristov, S., & Prodan, R. (2017). A Serverless Real-Time Data Analytics Platform for Edge Computing. IEEE Internet Computing, 21(4), 64–71. [Paper]
Conference proceedings
- Rausch, T., Hummer, W., Stippel, C., Vasiljevic, S., Elvezio, C., Dustdar, S., & Krösl, K. (2021). Towards a Platform for Smart City-Scale Cognitive Assistance Applications. IEEE VR Workshop on Distributed Interactive Systems for Collaboration Experiences (DISCE).
- Rausch, T., Lachner, C., Frangoudis, P. A., Raith, P., & Dustdar, S. (2020). Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing Systems. 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 20). [Preprint]
- Rausch, T., Hummer, W., & Muthusmay, V. (2020). An Experimentation and Analytics Framework for Large-Scale AI Operations Platforms. 2020 USENIX Conference on Operational Machine Learning (OpML ’20). [Preprint]
- Rausch, T., Raith, P., Pillai, P., & Dustdar, S. (2019). Demo: A System for Operating Energy-Aware Cloudlets. 2019 IEEE/ACM Symposium on Edge Computing (SEC ’19). 🏅 Best Demo [Preprint] [Poster]
- Haris, I., Bisanovic, V., Wally, B., Rausch, T., Ratasich, D., Dustdar, S., Kappel, G., & Grosu, R. (2019). Sensyml: Simulation Environment for large-scale IoT Applications. 45th Annual Conference of the IEEE Industrial Electronics Society (IECON ’19), 1, 3024–3030. [Paper]
- Lachner, C., Rausch, T., & Dustdar, S. (2019). ORIOT: A Source Location Privacy System for Resource Constrained IoT Devices. 2019 IEEE Global Communications Conference (GLOBECOM). [Preprint]
- Rausch, T., Hummer, W., Muthusamy, V., Rashed, A., & Dustdar, S. (2019). Towards a Serverless Platform for Edge AI. 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19). [Preprint] [Presentation]
- Lachner, C., Rausch, T., & Dustdar, S. (2019). Context-Aware Enforcement of Privacy Policies in Edge Computing. 2019 IEEE International Congress on Big Data (BigData Congress). [Preprint]
- Rausch, T., & Dustdar, S. (2019). Edge Intelligence: The Convergence of Humans, Things, and AI. 2019 IEEE International Conference on Cloud Engineering (IC2E). [Preprint]
- Hummer, W., Muthusamy, V., Rausch, T., Dube, P., & El Maghraoui, K. (2019). ModelOps: Cloud-based Lifecycle Management for Reliable and Trusted AI. 2019 IEEE International Conference on Cloud Engineering (IC2E). [Preprint]
- Skarlat, O., Karagiannis, V., Rausch, T., Bachmann, K., & Schulte, S. (2018, December). A Framework for Optimization, Service Placement, and Runtime Operation in the Fog. 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC’18). [Preprint]
- Rausch, T., Avasalcai, C., & Dustdar, S. (2018, October). Portable Energy-Aware Cluster-Based Edge Computers. 2018 IEEE/ACM Symposium on Edge Computing (SEC’18). [Preprint] [Presentation]
- Rausch, T., Nastic, S., & Dustdar, S. (2018, April). EMMA: Distributed QoS-Aware MQTT Middleware for Edge Computing Applications. 2018 IEEE International Conference on Cloud Engineering (IC2E). [Preprint] [Presentation]
- Isakovic, H., Ratasich, D., Hirsch, C., Platzer, M., Wally, B., Rausch, T., Nickovic, D., Krenn, W., Kappel, G., Dustdar, S., & others. (2018). CPS/IoT Ecosystem: A platform for research and education. Proceedings of the 14th Workshop on Embedded and Cyber-Physical Systems Education (WESE 2018). [Preprint]
- Rausch, T. (2017). Message-oriented Middleware for Edge Computing Applications. Proceedings of the 18th Doctoral Symposium of the 18th International Middleware Conference, 3–4. [Preprint] [Presentation]
- Rausch, T., Hummer, W., Leitner, P., & Schulte, S. (2017). An Empirical Analysis of Build Failures in the Continuous Integration Workflows of Java-based Open-source Software. Proceedings of the 14th International Conference on Mining Software Repositories. [Preprint] [Presentation]
Tech reports
- Rausch, T., Hummer, W., & Muthusamy, V. (2020). PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms. In arXiv preprint arXiv:2006.12587. [Paper]