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Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning

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dc.contributor.authorAnwar, Alien
dc.contributor.committeechairButt, Ali R.en
dc.contributor.committeememberTilevich, Elien
dc.contributor.committeememberKafura, Dennis G.en
dc.contributor.committeememberNikolopoulos, Dimitrios S.en
dc.contributor.committeememberYao, Danfeng (Daphne)en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2018-06-09T08:01:44Zen
dc.date.available2018-06-09T08:01:44Zen
dc.date.issued2018-06-08en
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
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:14814en
dc.identifier.urihttp://hdl.handle.net/10919/83508en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectObject Storesen
dc.subjectKey-Value Storesen
dc.subjectFlexibilityen
dc.subjectEfficiencyen
dc.titleTowards Efficient and Flexible Object Storage Using Resource and Functional Partitioningen
dc.typeDissertationen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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