Publications
Showing results 1 - 20 out of 53
2024
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, pp. 7-12, 4th International Workshop on Distributed Infrastructure for Common Good, DICG 2023, Bologna, Italy, 11 Dec 2023. https://doi.org/10.1145/3631310.3633489
Poenaru-Olaru, L, Karpova, N, Miranda da Cruz, L, Rellermeyer, JS & Deursen, AV 2024, Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World. in Proceedings - 2024 IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024: Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI. ACM DL, pp. 222-233, CAIN 2024, Lisbon, Portugal, 14 Apr 2024. https://doi.org/10.1145/3644815.3644961
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
Weng, W, Uta, A & Rellermeyer, JS 2024, Brug: An Adaptive Memory (Re-)Allocator. in Proceedings : 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024. IEEE International Symposium on Cluster, Cloud and Internet Computing, Institute of Electrical and Electronics Engineers Inc., pp. 67-76, 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024, Philadelphia, United States, 6 May 2024. https://doi.org/10.1109/CCGrid59990.2024.00017
2023
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, pp. 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
Oudejans, D, Zorin, A & Rellermeyer, JS 2023, QOMPLIANCE: Declarative Data-Centric Policy Compliance. in Proceedings of the 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023. Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023, Nadi, Fiji, 4 Dec 2023. https://doi.org/10.1109/CSDE59766.2023.10487688
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, pp. 379-390, 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, Florence, Italy, 9 Oct 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., pp. 98-99, 2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, Melbourne, Australia, 15 May 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. pp. 17-18. https://doi.org/10.1109/greens59328.2023.00009
2022
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, vol. 52, no. 1, pp. 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 (eds), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Institute of Electrical and Electronics Engineers Inc., pp. 3364-3373, 2022 IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, 17 Dec 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., pp. 104-114, 36th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2022, Virtual, Online, France, 30 May 2022. https://doi.org/10.48550/arXiv.2112.06280, https://doi.org/10.1109/IPDPS53621.2022.00019
2021
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, vol. 32, no. 7, 9309187, pp. 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, Canada, 6 Dec 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, pp. 70-73, WAIN'21 - 1st Workshop on AI Engineering – Software Engineering for AI, Spain, 30 May 2021. https://doi.org/10.1109/WAIN52551.2021.00017
2020
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. pp. 513-527, 17th USENIX Symposium on Networked Systems Design and Implementation, United States, 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), vol. 53, no. 2, 3377454. https://doi.org/10.1145/3377454
2019
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, United States, 9 Dec 2019 - 12 Dec 2019 pp. 62-64. https://doi.org/10.1145/3360468.3368179
