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. An Elasticity Study of Distributed Graph Processing: Poster Paper

    Au, S., Uta, A., Ilyushkin, A. & Iosup, A. 2018 18th IEEE/ACM Int'l Symp. on Cluster, Cloud and Grid Computing. p. 382-383 2 p.

    Research output: Scientific - peer-reviewConference contribution

  4. Elasticity in Graph Analytics? A Benchmarking Framework for Elastic Graph Processing

    Uta, A., Au, S., Ilyushkin, A. & Iosup, A. 2018 20th IEEE Int'l Conference on Cluster Computing (CLUSTER).

    Research output: Scientific - peer-reviewConference contribution

  5. 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

  6. 2017
  7. ANANKE: a Q-Learning-Based Portfolio Scheduler for Complex Industrial Workflows

    Ma, S., Ilyushkin, A., Stegehuis, A. & Iosup, A. 2017 14th IEEE Int'l Conference on Autonomic Computing (ICAC). p. 227-232 6 p.

    Research output: Scientific - peer-reviewConference contribution

  8. ANANKE: a Q-Learning-Based Portfolio Scheduler for Complex Industrial Workflows: Technical Report DS-2017-001

    Ma, S., Ilyushkin, A., Stegehuis, A. & Iosup, A. 2017 Delft, the Netherlands: TU Delft. 36 p.

    Research output: ScientificReport

  9. 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

  10. 2016
  11. Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms: Poster Paper

    Ali-Eldin, A., Ilyushkin, A., Ghit, B., Herbst, N., Papadopoulos, A. & Iosup, A. 2016 7th ACM/SPEC Int'l Conference on Performance Engineering. New York, NY, USA, p. 131-132 2 p.

    Research output: Scientific - peer-reviewConference contribution

  12. 2015
  13. Scheduling Workloads of Workflows with Unknown Task Runtimes

    Ilyushkin, A., Ghit, B. & Epema, D. 2015 15th IEEE/ACM Int'l Symp. on Cluster, Cloud and Grid Computing. IEEE/CS, p. 606-616 11 p.

    Research output: Scientific - peer-reviewConference contribution

  14. Towards a Realistic Scheduler for Mixed Workloads with Workflows

    Ilyushkin, A. & Epema, D. 2015 15th IEEE/ACM Int'l Symp. on Cluster, Cloud and Grid Computing: Doctoral Symposium. p. 753-756 4 p.

    Research output: Scientific - peer-reviewConference contribution

ID: 161456