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Optimizing I/O Intensive Domain Handling in Xen Hypervisor for Consolidated Server Environments

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Green, Pervasive, and Cloud Computing

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9663))

Abstract

Consolidation of servers through virtualization, facilitated by the use of hypervisors, allows multiple servers to share a single hardware platform. Xen is a widely preferred hypervisor, mainly, due to its dual virtualization modes, virtual machine migration support and scalability. This paper involves an analysis of the virtual CPU (vCPU) scheduling algorithms in Xen, on the basis of their performance while handling compute intensive or I/O intensive domains in virtualized server environments. Based on this knowledge, the selection of CPU scheduler in a hypervisor can be aligned with the requirements of the hosted applications. We introduce a new credit-based vCPU scheduling strategy, which allows the vCPUs of I/O intensive domains to supersede other vCPUs, in order to favor the reduction of I/O bound domain response times and the subsequent bottleneck in the CPU run queue. The results indicate substantial improvement of I/O handling and fair resource allocation between the host and guest domains.

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Acknowledgement

The authors would like to thank the anonymous reviewers for their comments and suggestions. This work is partly supported by NSERC Grant CRDPJ 445731-12.

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Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Venkataramanan Venkatesh & Amiya Nayak

Authors
  1. Venkataramanan Venkatesh
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  2. Amiya Nayak
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Correspondence to Amiya Nayak .

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Editors and Affiliations

  1. Fujian Normal University, Fuzhou, China

    Xinyi Huang

  2. Deakin University, Burwood, Australia

    Yang Xiang

  3. Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Venkatesh, V., Nayak, A. (2016). Optimizing I/O Intensive Domain Handling in Xen Hypervisor for Consolidated Server Environments. In: Huang, X., Xiang, Y., Li, KC. (eds) Green, Pervasive, and Cloud Computing. Lecture Notes in Computer Science(), vol 9663. Springer, Cham. https://doi.org/10.1007/978-3-319-39077-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-39077-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39076-5

  • Online ISBN: 978-3-319-39077-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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