1. 2018
  2. An Experimental Performance Evaluation of Autoscalers for Complex Workflows

    Ilyushkin, A., Ali-Eldin, A., Herbst, N., Bauer, A., Papadopoulos, A., Epema, D. & Iosup, A. Apr 2018 In : ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS). 3, 2, p. 1-32 32 p., 8

    Research output: Scientific - peer-reviewArticle

  3. Achieving Performance Balance among Spark Frameworks with Two-Level Schedulers

    Kuzmanovska, A., van den Bogert, H., Mak, R. & Epema, D. 2018 Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018. Los Alamitos, CA: IEEE Computer Society, p. 133-142 10 p.

    Research output: Scientific - peer-reviewConference contribution

  4. The Impact of Task Runtime Estimate Accuracy on Scheduling Workloads of Workflows

    Ilyushkin, A. & Epema, D. 2018 18th IEEE/ACM Int'l Symp. on Cluster, Cloud and Grid Computing. p. 331-341 11 p.

    Research output: Scientific - peer-reviewConference contribution

  5. 2017
  6. A Coflow-based Co-optimization Framework for High-performance Data Analytics

    Cheng, L., Wang, Y., Pei, Y. & Epema, D. 2017 Proceedings - 46th International Conference on Parallel Processing, ICPP 2017. Los Alamitos, CA: IEEE Computer Society, p. 392-401 10 p.

    Research output: Scientific - peer-reviewConference contribution

  7. An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows

    Ilyushkin, A., Ali-Eldin, A., Herbst, N., Papadopoulos, A., Ghit, B., Epema, D. & Iosup, A. 2017 Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, ICPE 2017. New York, NY: Association for Computing Machinery (ACM), p. 75-86 12 p.

    Research output: Scientific - peer-reviewConference contribution

  8. Better Safe than Sorry: Grappling with Failures of In-Memory Data Analytics Frameworks

    Ghit, B. & Epema, D. 2017 Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2017. New York, NY: Association for Computing Machinery (ACM), p. 105-116 12 p.

    Research output: Scientific - peer-reviewConference contribution

  9. Modeling, Analysis, and Experimental Comparison of Streaming Graph-Partitioning Policies

    Guo, Y., Hong, S., Chafi, H., Iosup, A. & Epema, D. 2017 In : Journal of Parallel and Distributed Computing. 108, p. 106-121 16 p.

    Research output: Scientific - peer-reviewArticle

  10. 2016
  11. When Game Becomes Life: The Creators and Spectators of Online Game Replays and Live Streaming

    Jia, A. L., Shen, S., Epema, D. H. J. & Iosup, A. Aug 2016 In : ACM Transactions on Multimedia Computing Communications and Applications. 12, 4, p. 1-24 24 p., 47

    Research output: Scientific - peer-reviewArticle

  12. Design and Experimental Evaluation of Distributed Heterogeneous Graph-Processing Systems

    Guo, Y., Varbanescu, A. L., Epema, D. & Iosup, A. 21 Jul 2016 Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2016. Los Alamitos, CA: IEEE, p. 1-10 10 p.

    Research output: Scientific - peer-reviewConference contribution

  13. Tyrex: Size-Based Resource Allocation in MapReduce Frameworks

    Ghit, B. & Epema, D. 21 Jul 2016 Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2016. Los Alamitos, CA: IEEE, p. 11-20 10 p.

    Research output: Scientific - peer-reviewConference contribution

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