Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware

Cheol Ho Hong; Beom Joon Kim; Young Pil Kim; Hyunchan Park; Chuck Yoo

doi:10.1007/978-3-319-09873-9_9

Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware

Cheol Ho Hong, Beom Joon Kim, Young Pil Kim, Hyunchan Park, Chuck Yoo

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Cloud computing platforms are considerably attractive for parallel applications that perform large-scale, computationally intensive tasks. These platforms can provide elastic computing resources to the parallel software owing to system virtualization technology. Almost every cloud service provider operates on a pay-per-use basis, and therefore, it is important to estimate the performance of parallel applications before deploying them. However, a comprehensive study that can predict the performance of parallel applications remains unexplored and is still a research topic. In this paper, we provide a theoretical performance model that can predict the performance of parallel applications in different virtual machine scheduling policies and evaluate the model in representative hypervisors including KVM, Xen, and VMware. Through this analysis and evaluation, we show that our performance prediction model is accurate and reliable.

Original language	English
Title of host publication	Euro-Par 2014
Subtitle of host publication	Parallel Processing - 20th International Conference, Proceedings
Editors	Fernando Silva, Inês Dutra, Vítor Santos Costa
Publisher	Springer Verlag
Pages	99-110
Number of pages	12
ISBN (Electronic)	9783319098722
ISBN (Print)	9783319098722
DOIs	https://doi.org/10.1007/978-3-319-09873-9_9
Publication status	Published - 2014
Event	20th International Conference on Parallel Processing, Euro-Par 2014 - Porto, Portugal Duration: 2014 Aug 25 → 2014 Aug 29

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8632 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	20th International Conference on Parallel Processing, Euro-Par 2014
Country/Territory	Portugal
City	Porto
Period	14/8/25 → 14/8/29

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-09873-9_9

Cite this

Hong, C. H., Kim, B. J., Kim, Y. P., Park, H., & Yoo, C. (2014). Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware. In F. Silva, I. Dutra, & V. S. Costa (Eds.), Euro-Par 2014: Parallel Processing - 20th International Conference, Proceedings (pp. 99-110). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8632 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09873-9_9

Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware. / Hong, Cheol Ho; Kim, Beom Joon; Kim, Young Pil et al.
Euro-Par 2014: Parallel Processing - 20th International Conference, Proceedings. ed. / Fernando Silva; Inês Dutra; Vítor Santos Costa. Springer Verlag, 2014. p. 99-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8632 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hong, CH, Kim, BJ, Kim, YP, Park, H & Yoo, C 2014, Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware. in F Silva, I Dutra & VS Costa (eds), Euro-Par 2014: Parallel Processing - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8632 LNCS, Springer Verlag, pp. 99-110, 20th International Conference on Parallel Processing, Euro-Par 2014, Porto, Portugal, 14/8/25. https://doi.org/10.1007/978-3-319-09873-9_9

Hong CH, Kim BJ, Kim YP, Park H, Yoo C. Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware. In Silva F, Dutra I, Costa VS, editors, Euro-Par 2014: Parallel Processing - 20th International Conference, Proceedings. Springer Verlag. 2014. p. 99-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-09873-9_9

Hong, Cheol Ho ; Kim, Beom Joon ; Kim, Young Pil et al. / Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware. Euro-Par 2014: Parallel Processing - 20th International Conference, Proceedings. editor / Fernando Silva ; Inês Dutra ; Vítor Santos Costa. Springer Verlag, 2014. pp. 99-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware

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