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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Elasticity Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Costs Engineering & Materials Science
Processing Engineering & Materials Science
Ecosystems Engineering & Materials Science
Cloud computing Engineering & Materials Science
Scavenging Engineering & Materials Science
Benchmarking Engineering & Materials Science

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Research Output 2014 2019

  • 13 Conference contribution
  • 3 Article
  • 1 PhD Thesis - Research VU, graduation VU

POSUM: A Portfolio Scheduler for MapReduce Workloads

Voinea, M. A., Uta, A. & Iosup, A., 22 Jan 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 351-357 7 p. 8622215

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

Scheduling
Ecosystems
Costs
Experiments
Big data

An elasticity study of distributed graph processing

Au, S., Uta, A., Ilyushkin, A. & Iosup, A., 13 Jul 2018, Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018. Institute of Electrical and Electronics Engineers Inc., p. 382-383 2 p.

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

Elasticity
Processing
Costs
Dynamic models
Throughput

A performance study of big data workloads in cloud datacenters with network variability

Uta, A. & Obaseki, H., 2 Apr 2018, ICPE 2018 - Companion of the 2018 ACM/SPEC International Conference on Performance Engineering. Association for Computing Machinery, Inc, Vol. 2018-January. p. 113-118 6 p.

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

Bandwidth
Cloud computing
Program processors
Big data
Degradation

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

Uta, A., Au, S., Ilyushkin, A. & Iosup, A., 1 Nov 2018, Proceedings - 2018 IEEE International Conference on Cluster Computing, CLUSTER 2018. Institute of Electrical and Electronics Engineers, Inc., p. 381-391 11 p. 8514898

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

Benchmarking
Elasticity
Processing
Costs
Dynamic models

Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing

Uta, A., Varbanescu, A. L., Musaafir, A., Lemaire, C. & Iosup, A., 1 Nov 2018, Proceedings - 2018 IEEE International Conference on Cluster Computing, CLUSTER 2018. Institute of Electrical and Electronics Engineers, Inc., p. 66-77 12 p. 8514860

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

Landing
Processing
Hardware
Oils and fats
Tuning