Research

Selected publications

Find a full list of publications at the bottom of the page.

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Academic activities

Conference committees

• 2nd International Workshop on Testing Distributed Internet of Things Systems (TDIS’22): Technical Program Committee
• The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid’22): Technical Program Committee
• 1st International Workshop on Testing Distributed Internet of Things Systems (TDIS’21): Technical Program Committee
• 9th IEEE International Conference on Cloud Engineering (IC2E’21): Technical Program Committee
• 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.

• Least Privilege Access Policy Generation for Cloud Applications using Cloud Emulators
  Daniel Fangl, Diploma Thesis, in progress.
• A Serverless Platform for Automated Machine Learning
  Silvio Vasiljevic, Diploma Thesis, in progress.
  🏅 Winner of a 2021 Netidee grant
• Self-adaptive Distributed MQTT Middleware for Edge Computing Application [📄 pdf]
  Andreas Bruckner, Diploma Thesis, 2022
• Persistable, distributable and versionable application state for cloud service emulators [📄 pdf]
  Alireza Furutanpey, Diploma Thesis, 2022
• Improving Serverless Edge Computing for Network Bound Workload [📄 pdf]
  Jacob Palecek, Diploma Thesis, 2022.
  🏅 Winner of a 2020 Netidee grant
• Datal locality-aware scheduling for serverless edge computing [📄 pdf]
  Cynthia Marcelino, Diploma Thesis, TU Wien, 2021
• Automated Error Cause Detection for Programming Assignments Using Machine Learning
  Daniel Rohr, Bachelor Thesis, TU Wien, 2021.
• Container Scheduling on Heterogeneous Clusters using Machine Learning-based Workload Characterization [📄 pdf]
  Philipp Raith, Diploma Thesis, 2021.
  🏅 Winner of a 2020 Netidee grant
  🏅 Shortlisted for the Distinguished Young Alumnus award
• 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 Models
  Philipp Raith, Bachelor Thesis, TU Wien, 2018.

Awards and Honors

• Best Paper award at the IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC’22)
• Invited as Young Expert to the Austrian Computer Science Day 2021
• 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

1. Raith, P., Rausch, T., Furutanpey, A., & Dustdar, S. (2023). faas-sim: A Trace-Driven Simulation Framework for Serverless Edge Computing Platforms. Software: Practice and Experience. (To appear) [Preprint]
2. 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]
3. 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]
4. Rausch, T., Dustdar, S., & Ranjan, R. (2018). Osmotic Message-Oriented Middleware for the Internet of Things. IEEE Cloud Computing, 5(2), 17–25. [Paper]
5. 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

1. Raith, P., Rausch, T., Rossi, F., Dustdar, S., Cardellini, V., & Ranjan, R. (2022). Mobility-Aware Serverless Function Adaptations Across the Edge-Cloud Continuum. Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC’22). 🏅 Best Paper [Preprint]
2. An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques. (2022). 2022 IEEE International Conference on Cloud Engineering (IC2E). [Preprint]
3. Lachner, C., Rausch, T., & Dustdar, S. (2021). A Privacy Preserving System for AI-assisted Video Analytics. 2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC). [Preprint]
4. 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. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). [Preprint]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. Rausch, T., & Dustdar, S. (2019). Edge Intelligence: The Convergence of Humans, Things, and AI. 2019 IEEE International Conference on Cloud Engineering (IC2E). [Preprint]
13. 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]
14. 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]
15. 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]
16. 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]
17. 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]
18. 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]
19. 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

1. Rausch, T., Hummer, W., & Muthusamy, V. (2020). PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms. In arXiv preprint arXiv:2006.12587. [Paper]

Theses

1. Rausch T. (2021). “A Distributed Compute Fabric for Edge Intelligence”, PhD Thesis, TU Wien.
2. Rausch T. (2016). “Build Failure Prediction in Continuous Integration Workflows”, Diploma Thesis, TU Wien.