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10.1145/2851613.2851946acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
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Virtual machine scheduling based on task characteristic

Published: 04 April 2016 Publication History

Abstract

Credit scheduler, an original Xen virtual machine scheduler, uses a boost mechanism to improve responsiveness. However, the original boost mechanism is applied only to inactive virtual machines. Because of this, if virtual machine scheduling delay time increases, the I/O performance of an active virtual machine dramatically decreases. However, when the boost mechanism of a previous credit scheduler is applied to an active virtual machine, the allocation equality can become unbalanced. This research study proposes a boost mechanism that can be applied to an active virtual machine. Evaluation of the results showed that, when compared to the previous credit scheduler, the proposed method both did not upset the fairness of the CPU allocation between the virtual machines and improved the I/O performance.

References

[1]
Chisnall David, The definitive guide to the xen hypervisor. Pearson Education, 2008
[2]
Hwanju Kim, Hyeontaek Lim, Jinkyu Jeong, Heeseung Jo amd Joowon Lee, "Task-aware virtual machine scheduling for I/O performance," The 2009 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2009
[3]
Ryan Hnarakis, In Perfect Xen, "A Performance Study of the Emerging Xen Scheduler", Ph. D, Dissertation, the Faculty of California Polytechnic State University San Luis Obispo, 2013
[4]
Diego Ongaro, Alan L. Cox and Scott Rixner, "Scheduling I/O in virtual machine monitors," The 2008 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2008

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cover image ACM Conferences
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing
April 2016
2360 pages
ISBN:9781450337397
DOI:10.1145/2851613
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 April 2016

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Author Tags

  1. I/O performance
  2. Xen
  3. scheduling

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  • Research-article

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SAC 2016
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SAC 2016: Symposium on Applied Computing
April 4 - 8, 2016
Pisa, Italy

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SAC '16 Paper Acceptance Rate 252 of 1,047 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

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