Publications – Institut für Systems Engineering

Petrescu, S, Martinez, DA & Rellermeyer, JS 2024, Toward Competitive Serverless Deep Learning. in DICG 2023: MIDDLEWARE 2023Proceedings of the 2023 4th International Workshop on Distributed Infrastructure for Common Good, Part of. Association for Computing Machinery, Inc, S. 7-12, 4th International Workshop on Distributed Infrastructure for Common Good, DICG 2023, Bologna, Italien, 11 Dez. 2023. https://doi.org/10.1145/3631310.3633489

Poenaru-Olaru, L, Miranda da Cruz, L, Rellermeyer, JS & Deursen, AV 2024 'McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions' CoRR. https://doi.org/10.48550/arXiv.2401.14093

Hasenoot, JA, Rellermeyer, JS & Uta, A 2023, The Performance of Distributed Applications: A Traffic Shaping Perspective. in ICPE 2023 - Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering. Association for Computing Machinery, Inc, S. 207-220, 14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023, Coimbra, Portugal, 15 Apr. 2023. https://doi.org/10.1145/3578244.3583733

Petrescu, S, Den Hengst, F, Uta, A & Rellermeyer, JS 2023, Log Parsing Evaluation in the Era of Modern Software Systems. in Proceedings : 2023 IEEE 34th International Symposium on Software Reliability Engineering, ISSRE 2023. Proceedings - International Symposium on Software Reliability Engineering, ISSRE, IEEE Computer Society, S. 379-390, 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, Florence, Italien, 9 Okt. 2023. https://doi.org/10.48550/arXiv.2308.09003, https://doi.org/10.1109/ISSRE59848.2023.00019

Poenaru-Olaru, L, Miranda da Cruz, L, Rellermeyer, JS & Van Deursen, A 2023, Maintaining and Monitoring AIOps Models Against Concept Drift. in 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN). Institute of Electrical and Electronics Engineers Inc., S. 98-99, 2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, Melbourne, Australien, 15 Mai 2023. https://doi.org/10.1109/CAIN58948.2023.00024

Poenaru-Olaru, L, Karpova, N, Miranda da Cruz, L, Rellermeyer, JS & Deursen, AV 2023 'Maintenance Techniques for Anomaly Detection AIOps Solutions.'. https://doi.org/10.48550/arXiv.2311.10421

Poenaru-Olaru, L, Sallou, J, Miranda da Cruz, L, Rellermeyer, JS & Deursen, AV 2023, Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. in 2023 IEEE/ACM 7th International Workshop on Green And Sustainable Software, GREENS 2023. S. 17-18. https://doi.org/10.1109/greens59328.2023.00009

Ding, AY, Peltonen, E, Meuser, T, Aral, A, Becker, C, Dustdar, S, Hiessl, T, Kranzlmüller, D, Liyanage, M, Maghsudi, S, Mohan, N, Ott, J, Rellermeyer, JS, Schulte, S, Schulzrinne, H, Solmaz, G, Tarkoma, S, Varghese, B & Wolf, L 2022, 'Roadmap for edge AI: A Dagstuhl Perspective', Computer communication review, Jg. 52, Nr. 1, S. 28-33. https://doi.org/10.1145/3523230.3523235

Iosup, A, Kuipers, F, Varbanescu, AL, Grosso, P, Trivedi, A, Rellermeyer, JS, Wang, L, Uta, A & Regazzoni, F 2022 'Future Computer Systems and Networking Research in the Netherlands: A Manifesto'. https://doi.org/10.48550/arXiv.2206.03259

Poenaru-Olaru, L, Miranda da Cruz, L, Van Deursen, A & Rellermeyer, JS 2022, Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (Hrsg.), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Institute of Electrical and Electronics Engineers Inc., S. 3364-3373, 2022 IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, 17 Dez. 2022. https://doi.org/10.48550/arXiv.2211.13098, https://doi.org/10.1109/BigData55660.2022.10020292

Uta, A, Ghit, B, Dave, A, Rellermeyer, J & Boncz, P 2022, In-Memory Indexed Caching for Distributed Data Processing. in Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022. Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022, Institute of Electrical and Electronics Engineers Inc., S. 104-114, 36th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2022, Virtual, Online, Frankreich, 30 Mai 2022. https://doi.org/10.48550/arXiv.2112.06280, https://doi.org/10.1109/IPDPS53621.2022.00019

Li, H, Li, Z, Li, K, Rellermeyer, J, Chen, L & Li, K 2021, 'SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition', IEEE Transactions on Parallel and Distributed Systems, Jg. 32, Nr. 7, 9309187, S. 1828-1841. https://doi.org/10.1109/TPDS.2020.3047460

van Rijn, VJ & Rellermeyer, J 2021, A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms. in Proceedings of the 22nd ACM/IFIP International Middleware Conference. ACM DL, 22nd ACM/IFIP International Middleware Conference, Kanada, 6 Dez. 2021. https://doi.org/10.1145/3464298.3493404

Xie, Y, Miranda da Cruz, L, Heck, P & Rellermeyer, J 2021, Systematic Mapping Study on the Machine Learning Lifecycle. in Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021., 9474380, IEEE, S. 70-73, WAIN'21 - 1st Workshop on AI Engineering – Software Engineering for AI, Spanien, 30 Mai 2021. https://doi.org/10.1109/WAIN52551.2021.00017

Uta, A, Custura, A, Duplyakin, D, Jimenez, I, Rellermeyer, J, Maltzahn, C, Ricci, R & Iosup, A 2020, Is Big Data Performance Reproducible in Modern Cloud Networks? in Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2020. S. 513-527, 17th USENIX Symposium on Networked Systems Design and Implementation, USA / Vereinigte Staaten, 25 Feb. 2020.

Verbraeken, J, Wolting, M, Katzy, J, Kloppenburg, J, Verbelen, T & Rellermeyer, J 2020, 'A Survey on Distributed Machine Learning', ACM Computing Surveys (CSUR), Jg. 53, Nr. 2, 3377454. https://doi.org/10.1145/3377454

Agrawal, N, Rellermeyer, J & Ding, A 2019, 'IoT resource-aware orchestration framework for edge computing', 15th International Conference on Emerging Networking EXperiments and Technologies, CoNEXT 2019 - Part of CoNEXT 2019, USA / Vereinigte Staaten, 9 Dez. 2019 - 12 Dez. 2019 S. 62-64. https://doi.org/10.1145/3360468.3368179

Kashyap, S, Rellermeyer, JS, Rozner, E & Schaub, JD Juni. 20 2019, Automatic seeding of an application programming interface (api) into a conversational interface, Patent Nr. US20190188317A1.

Manweiler, JG, Rellermeyer, JS, Rozner, E & Xenidis, J Feb.. 05 2019, Cooperative evidence gathering, Patent Nr. US10198773B2. <https://worldwide.espacenet.com/patent/search?q=pn%3DUS10198773B2>

Omranian Khorasani, S, Rellermeyer, J & Epema, D 2019, Self-adaptive Executors for Big Data Processing. in Middleware 2019 - Proceedings of the 2019 20th International Middleware Conference. Proceedings of the 20th International Middleware Conference, Association for Computing Machinery (ACM), S. 176-188, ACM/IFIP 20th International Middleware Conference, USA / Vereinigte Staaten, 9 Dez. 2019. https://doi.org/10.1145/3361525.3361545