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Research at St Andrews

Autonomic management of client concurrency in a distributed storage service

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

DOI

Author(s)

Markus Gerhard Tauber, Graham Njal Cameron Kirby, Alan Dearle

School/Research organisations

Abstract

A distributed autonomic system adapts its constituent components to a changing environment. This paper reports on the application of autonomic management to a distributed storage service. We developed a simple analytic model which suggested potential benefit from tuning the degree of concurrency used in data retrieval operations, to suit dynamic conditions. We then validated this experimentally by developing an autonomic manager to control the degree of concurrency. We compared the resulting data retrieval performance with non-autonomic versions, using various combinations of network capacity, membership churn and workload patterns. Overall, autonomic management yielded improved retrieval performance. It also produced a distinct but not significant increase in network usage relative to one non-autonomic configuration, and a significant reduction relative to another.
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Details

Original languageEnglish
Title of host publication2011 IFIP/IEEE International Symposium on Integrated Network Management (IM 2011)
PublisherIEEE
Pages1109-1115
ISBN (Electronic)978-1-4244-9220-6
ISBN (Print)978-1-4244-9219-0
DOIs
StatePublished - 2011
Event4th IFIP/IEEE Distributed Autonomous Management Systems Workshop (DANMS 2011) - Dublin, Ireland
Duration: 27 May 2011 → …

Conference

Conference4th IFIP/IEEE Distributed Autonomous Management Systems Workshop (DANMS 2011)
CountryIreland
CityDublin
Period27/05/11 → …

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ID: 45162070