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Personal profile

Research interests

I am a professor of distributed systems interested in resource management and scheduling in large-scale distributed systems, in performance analysis, in trust and reputation systems, and in blockchain-based systems.

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Research Output

Fair multiple-workflow scheduling with different quality-of-service goals

Rezaeian, A., Naghibzadeh, M. & Epema, D. H. J., 2019, In : Journal of Supercomputing. 75, 2, p. 746-769 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
  • 2 Citations (Scopus)
    55 Downloads (Pure)

    Self-adaptive Executors for Big Data Processing

    Omranian Khorasani, S., Rellermeyer, J. S. & Epema, D., 13 Sep 2019, Middleware '19: Proceedings of the 20th International Middleware Conference. New York: Association for Computing Machinery (ACM), p. 176-188 13 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 236 Downloads (Pure)

    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, p. 133-142 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • 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

    Open Access
    File
  • 135 Downloads (Pure)

    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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 2 Citations (Scopus)
    70 Downloads (Pure)

    Datasets

    Self-adaptive Executors for Big Data Processing

    Omranian Khorasani, S. (Creator), Epema, D. H. J. (Contributor) & Rellermeyer, J. S. (Contributor), TU Delft - 4TU Centre for research data, 6 Sep 2019

    Dataset

    Prizes

    Best Paper award at CCGrid 2010

    Derrick Kondo (Recipient), Bahman Javadi (Recipient), Iosup, A. (Recipient) & Epema, D.H.J. (Recipient), 2010

    Prize: Prize (including medals and awards)

  • Best Paper award at MASCOTS 2013

    Epema, D.H.J. (Recipient), 2013

    Prize: Prize (including medals and awards)

  • Scale Challenge at CCGrid 2014

    Bogdan Ghit (Recipient), Mihai Capota (Recipient), Tim Hegeman (Recipient), Jan Hidders (Recipient), Epema, D.H.J. (Recipient) & Alexandru Iosup (Recipient), 2014

    Prize: Prize (including medals and awards)

  • Activities

    • 2 Editorial activity

    Association for Computing Machinery (ACM) (Publisher)

    D.H.J. Epema (Editor)

    2013 → …

    Activity: Publication peer-review and editorial workEditorial activity

    Lecture Notes in Computer Science (Journal)

    D.H.J. Epema (Editor)

    2009 → …

    Activity: Publication peer-review and editorial workEditorial activity