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QoS aware storage cache management in multi-server environments

Published:12 February 2011Publication History
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Abstract

In this paper, we propose a novel two-step approach to the management of the storage caches to provide predictable performance in multi-server storage architectures: (1) An adaptive QoS decomposition and optimization step uses max-flow algorithm to determine the best decomposition of application-level QoS to sub-QoSs such that the application performance is optimized, and (2) A storage cache allocation step uses feedback control theory to allocate shared storage cache space such that the specified QoSs are satisfied throughout the execution.

References

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  1. QoS aware storage cache management in multi-server environments

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  • Published in

    cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 46, Issue 8
    PPoPP '11
    August 2011
    300 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/2038037
    Issue’s Table of Contents
    • cover image ACM Conferences
      PPoPP '11: Proceedings of the 16th ACM symposium on Principles and practice of parallel programming
      February 2011
      326 pages
      ISBN:9781450301190
      DOI:10.1145/1941553
      • General Chair:
      • Calin Cascaval,
      • Program Chair:
      • Pen-Chung Yew

    Copyright © 2011 Authors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 12 February 2011

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