QoS aware storage cache management in multi-server environments

Ramya Prabhakar, Shekhar Srikantaiah, Rajat Garg, Mahmut Kandemir

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

1 Scopus citations

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
Pages289-290
Number of pages2
DOIs
StatePublished - Mar 24 2011
Event16th ACM Symposium on Principles and Practice of Parallel Programming, PPoPP'11 - 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

Other

Other16th ACM Symposium on Principles and Practice of Parallel Programming, PPoPP'11
CountryUnited States
CitySan Antonio, TX
Period2/12/112/16/11

All Science Journal Classification (ASJC) codes

  • Software

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    Prabhakar, R., Srikantaiah, S., Garg, R., & Kandemir, M. (2011). QoS aware storage cache management in multi-server environments. In PPoPP'11 - Proceedings of the 2011 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (pp. 289-290). (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP). https://doi.org/10.1145/1941553.1941593