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dc.contributor.authorAnwar, Alien_US
dc.date.accessioned2018-06-09T08:01:44Z
dc.date.available2018-06-09T08:01:44Z
dc.date.issued2018-06-08
dc.identifier.othervt_gsexam:14814en_US
dc.identifier.urihttp://hdl.handle.net/10919/83508
dc.description.abstractModern storage systems are designed to manage data without considering the dynamicity of user or resource requirements. This design approach does not consider the complexities of the dynamically changing runtime application behaviors as well as the unique features of underlying resources. To this end, this dissertation studies how resource and functional partitioning strategies can improve efficiency and flexibility of object stores. This dissertation presents a series of practical and efficient techniques, algorithms, and optimizations to realize efficient and flexible object stores. The experimental evaluation demonstrates the effectiveness of our design choices and strategies to make object stores flexible and resource-aware.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectObject Storesen_US
dc.subjectKey-Value Storesen_US
dc.subjectFlexibilityen_US
dc.subjectEfficiencyen_US
dc.titleTowards Efficient and Flexible Object Storage Using Resource and Functional Partitioningen_US
dc.typeDissertationen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreePh. D.en_US
thesis.degree.namePh. D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairButt, Ali Raza Ashrafen_US
dc.contributor.committeememberTilevich, Elien_US
dc.contributor.committeememberKafura, Dennis G.en_US
dc.contributor.committeememberNikolopoulos, Dimitrios S.en_US
dc.contributor.committeememberYao, Danfengen_US


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