{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"Optimizing Energy and Performance for Server-Class File System Workloads","metadata":[{"label":"dc.description.sponsorship","value":"This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree."},{"label":"dc.format","value":"Monograph"},{"label":"dc.format.medium","value":"Electronic Resource"},{"label":"dc.identifier.uri","value":"http://hdl.handle.net/11401/72666"},{"label":"dc.language.iso","value":"en_US"},{"label":"dc.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.abstract","value":"Recently, 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."},{"label":"dcterms.available","value":"2012-05-15T18:06:48Z"},{"label":"dcterms.contributor","value":"Jennifer Wong."},{"label":"dcterms.creator","value":"Sehgal, Priya"},{"label":"dcterms.dateAccepted","value":"2015-04-24T14:53:09Z"},{"label":"dcterms.dateSubmitted","value":"2012-05-15T18:06:48Z"},{"label":"dcterms.description","value":"Department of Computer Science"},{"label":"dcterms.format","value":"Monograph"},{"label":"dcterms.identifier","value":"http://hdl.handle.net/1951/55619"},{"label":"dcterms.issued","value":"2010-05-01"},{"label":"dcterms.language","value":"en_US"},{"label":"dcterms.provenance","value":"Made available in DSpace on 2012-05-15T18:06:48Z (GMT). No. of bitstreams: 1\nSehgal_grad.sunysb_0771M_10081.pdf: 434951 bytes, checksum: 3bfc684af4b28ada7cd36e2aa43ed22d (MD5)\n  Previous issue date:    1"},{"label":"dcterms.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.subject","value":"Computer Science --  Energy"},{"label":"dcterms.title","value":"Optimizing Energy and Performance for Server-Class File System Workloads"},{"label":"dcterms.type","value":"Thesis"},{"label":"dc.type","value":"Thesis"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1650,"width":1275,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/70%2F92%2F24%2F70922400099342251722522574916154266703/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1650,"width":1275,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/70%2F92%2F24%2F70922400099342251722522574916154266703","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}