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dc.contributor.advisorZadok, Erezen_US
dc.contributor.authorSehgal, Priyaen_US
dc.contributor.otherDepartment of Computer Scienceen_US
dc.date.accessioned2012-05-15T18:06:48Z
dc.date.available2012-05-15T18:06:48Z
dc.date.issued1-May-10en_US
dc.date.submittedMay-10en_US
dc.identifierSehgal_grad.sunysb_0771M_10081.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1951/55619
dc.description.abstractRecently, power has emerged as a critical factor in designing components of storage systems, especially for power-hungry data centers. While there is some research into power-aware storage stack components, there are no systematic studies evaluating each component's impact separately. Various factors like workloads, hardware configurations, and software configurations impact the performance and energy efficiency of the system. This thesis evaluates the file system's impact on energy consumption and performance. We studied several popular Linux file systems, with various mount and format options, using the FileBench workload generator to emulate four server workloads: Web, database, mail, and file server, on two different hardware configurations. The file system design, implementation, and available features have a significant effect on CPU/disk utilization, and hence on performance and power. We discovered that default file system options are often suboptimal, and even poor. In this thesis we show that a carefulmatching of expected workloads and hardware configuration to a single software configuration, the file system, can improve power-performance efficiency by a factor ranging from 1.05 to 9.4 times.en_US
dc.description.sponsorshipStony Brook University Libraries. SBU Graduate School in Department of Computer Science. Lawrence Martin (Dean of Graduate School).en_US
dc.formatElectronic Resourceen_US
dc.language.isoen_USen_US
dc.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.en_US
dc.subject.lcshComputer Science -- Energyen_US
dc.subject.otherBenchmarking study, Energy efficiency, File Systems, Performance Analysis, Storage Systemsen_US
dc.titleOptimizing Energy and Performance for Server-Class File System Workloadsen_US
dc.typeThesisen_US
dc.description.advisorAdvisor(s): Erez Zadok. Committee Member(s): Rob Johnson; Jennifer Wong.en_US
dc.mimetypeApplication/PDFen_US


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