Matching distributed file systems with application workloads

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dc.check.embargoformatNot applicableen
dc.check.infoNo embargo requireden
dc.check.opt-outNot applicableen
dc.check.reasonNo embargo requireden
dc.check.typeNo Embargo Required
dc.contributor.advisorMorrison, Johnen
dc.contributor.authorMeyer, Stefan
dc.contributor.funderIrish Research Council for Science, Engineering and Technologyen
dc.contributor.funderIntel Ireland Ltd.en
dc.date.accessioned2017-12-06T11:59:35Z
dc.date.available2017-12-06T11:59:35Z
dc.date.issued2017
dc.date.submitted2017
dc.description.abstractModern storage systems have a large number of configurable parameters, distributed over many layers of abstraction. The number of combinations of these parameters, that can be altered to create an instance of such a system, is enormous. In practise, many of these parameters are never altered; instead default values, intended to support generic workloads and access patterns, are used. As systems become larger and evolve to support different workloads, the appropriateness of using default parameters in this way comes into question. This thesis examines the implications of changing some of these parameters and explores the effects these changes have on performance. As part of that work multiple contributions have been made, including the creation of a structured method to create and evaluate different storage configurations, choosing appropriate access sizes for the evaluation, picking representative cloud workloads and capturing storage traces for further analysis, extraction of the workload storage characteristics, creating logical partitions of the distributed file system used for the optimization, the creation of heterogeneous storage pools within the homogeneous system and the mapping and evaluation of the chosen workloads to the examined configurations.en
dc.description.sponsorshipIrish Research Council for Science, Engineering and Technology (Enterprise Partnership Grant EPSPG/2012/480)en
dc.description.statusNot peer revieweden
dc.description.versionAccepted Version
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMeyer, S. 2017. Matching distributed file systems with application workloads. PhD Thesis, University College Cork.en
dc.identifier.endpage212en
dc.identifier.urihttps://hdl.handle.net/10468/5121
dc.language.isoenen
dc.publisherUniversity College Corken
dc.rights© 2017, Stefan Meyer.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectStorageen
dc.subjectClouden
dc.subjectWorkloadsen
dc.subjectTraceen
dc.subjectVirtualizationen
dc.thesis.opt-outfalse
dc.titleMatching distributed file systems with application workloadsen
dc.typeDoctoral thesisen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD (Science)en
ucc.workflow.supervisorj.morrison@ucc.ie
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