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dc.contributor.authorTauber, Markus
dc.contributor.authorKirby, Graham
dc.contributor.authorDearle, Alan
dc.date.accessioned2011-01-06T16:37:03Z
dc.date.available2011-01-06T16:37:03Z
dc.date.issued2010-06
dc.identifier.citationTauber , M , Kirby , G & Dearle , A 2010 , Autonomic management of maintenance scheduling in Chord . University of St Andrews .en
dc.identifier.otherPURE: 5004450
dc.identifier.otherPURE UUID: a5d4ba47-9028-4648-a4a5-82eca63f7273
dc.identifier.otherArXiv: http://arxiv.org/abs/1006.1578v1
dc.identifier.otherORCID: /0000-0002-4422-0190/work/28429097
dc.identifier.urihttps://hdl.handle.net/10023/1664
dc.descriptionSubmitted to P2P10en
dc.description.abstractThis paper experimentally evaluates the effects of applying autonomic management to the scheduling of maintenance operations in a deployed Chord network, for various membership churn and workload patterns. Two versions of anautonomic management policy were compared with a static configuration. The autonomic policies varied with respect to the aggressiveness with which they responded to peer access error rates and to wasted maintenance operations. In most experiments, significant improvements due to autonomic management were observed in the performance of routing operations and the quantity of data transmitted between network members. Of the autonomic policies, the more aggressive version gave slightly better results.
dc.format.extent11
dc.language.isoeng
dc.publisherUniversity of St Andrews
dc.subjectcs.NIen
dc.subjectNetworking and internet architectureen
dc.subjectQA76 Computer softwareen
dc.subject.lccQA76en
dc.titleAutonomic management of maintenance scheduling in Chorden
dc.typeReporten
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.urlhttp://hdl.handle.net/10023/1664en
dc.identifier.urlhttp://arxiv.org/abs/1006.1578en


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