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dc.contributor.authorBillingsley, J
dc.date.accessioned2022-06-23T17:53:15Z
dc.date.issued2022-06-22
dc.date.updated2022-06-23T17:45:12Z
dc.description.abstractData centers are critical to the commercial and social activities of modern society but are also major consumers of electricity. The challenge of providing high quality, low energy services is inspiring an overhaul of data centers and the wider telecommunications network. In this thesis we develop accurate analytical models for evaluating the quality of service of future data centers. Furthermore, based on these models, we develop domain-specific optimisation algorithms for finding the optimal placement of virtual network functions - a key component of future data centers. Our key contributions are the identification and correction of issues with popular models of the data centre, a new metaheuristic approach to placement that outperforms the current state of the art, and refinements to our algorithm to allow it to solve very large problem instances.en_GB
dc.identifier.urihttp://hdl.handle.net/10871/130040
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.rights.embargoreasonThis thesis is embargoed until 22/Dec/2023 as the author plans to publish their researchen_GB
dc.subjectnon-linear optimisationen_GB
dc.subjectqueueing theoryen_GB
dc.subjectevolutionary algorithmsen_GB
dc.subjectmulti-objective optimisationen_GB
dc.subjectdata centeren_GB
dc.subjectlarge scale optimisationen_GB
dc.titleResource Modelling and Optimisation for SLA Guarantees in Hyperconverged Communication Infrastructuresen_GB
dc.typeThesis or dissertationen_GB
dc.date.available2022-06-23T17:53:15Z
dc.contributor.advisorMin, Geyong
dc.contributor.advisorLi, Ke
dc.publisher.departmentCollege of Engineering, Mathematics & Physical Sciences
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dc.type.degreetitlePhD in Computer Science
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctoral Thesis
rioxxterms.versionNAen_GB
rioxxterms.licenseref.startdate2022-06-22
rioxxterms.typeThesisen_GB
refterms.dateFOA2023-12-22T00:00:00Z


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