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QoS aware storage cache management in multi-server environments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationPPoPP'11 - Proceedings of the 2011 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
PublisherAssociation for Computing Machinery
Pages289-290
Number of pages2
ISBN (Print)9781450301190
DOIs
StatePublished - Feb 12 2011
Event16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2011 - San Antonio, TX, United States
Duration: Feb 12 2011Feb 16 2011

Publication series

NameProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
ISSN (Print)1542-0205

Conference

Conference16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2011
Country/TerritoryUnited States
CitySan Antonio, TX
Period2/12/112/16/11

All Science Journal Classification (ASJC) codes

  • Software

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