1. 2019
  2. Chamulteon: Coordinated Auto-Scaling of Micro-Services

    Bauer, A., Lesch, V., Versluis, L., Ilyushkin, A., Herbst, N. & Kounev, S., Jul 2019, (Accepted/In press) Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS): Workshop program. 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows: Technical Report

    Ilyushkin, A., Bauer, A., Papadopoulos, A. V., Deelman, E. & Iosup, A., 24 May 2019, 28 p.

    Research output: Book/ReportReportScientific

  4. 2018
  5. 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: Contribution to journalArticleScientificpeer-review

  6. An Elasticity Study of Distributed Graph Processing

    Au, S., Uta, A., Ilyushkin, A. & Iosup, A., 2018, 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). O'Conner, L. (ed.). Piscataway, NJ: IEEE, p. 382-383 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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

    Uta, A., Au, S., Ilyushkin, A. & Iosup, A., 2018, 2018 IEEE International Conference on Cluster Computing (CLUSTER). O'Conner, L. & Torres, H. (eds.). Piscataway, NJ: IEEE, p. 381-391 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  8. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. 2017
  10. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. 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: Delft University of Technology. 36 p.

    Research output: Book/ReportReportScientific

  12. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. 2016
  14. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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