Towards Cost-aware Resource Management in Federated Cloud Data Centers

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dc.contributor.authorNajm, Moustafa
dc.date.accessioned2023-04-11T11:55:41Z
dc.date.accessioned2023-10-20T04:37:32Z
dc.date.available2023-04-11T11:55:41Z
dc.date.available2023-10-20T04:37:32Z
dc.date.issued2022
dc.descriptionSupervisor: Tamarapalli, Venkateshen_US
dc.description.abstractThe work in this thesis addresses the problems of cost-aware resource management in federated data centers. We design a resource management framework for federated cloud data centers along with some efficient techniques for dynamic resource allocation to minimize the operating cost of the cloud provider, along with considering the requirements of various applications. We propose a hierarchical framework for resource management in a federated cloud, catering to the requirements of each provider in the federation. This framework is used in handling all the other problems in our work. We address the problem of costaware resource allocation for hosting data-intensive applications in a federated cloud. We also address the problem of cost and delay aware dynamic resource management for hosting modern vehicular applications in a federated cloud. Finally, we address the problem of cost-aware VM migration in federated clouds to maximize the profit of the cloud provider. All the proposed algorithms are evaluated based on the data from practical cloud deployments and under different scenarios. Results show that exploiting federation brings great benefits for the cloud provider and the end-users alike.en_US
dc.identifier.otherROLL NO.166101017
dc.identifier.urihttp://172.17.1.107:4000/handle/123456789/2332
dc.language.isoenen_US
dc.relation.ispartofseriesTH-2862;
dc.subjectFederated Data Centersen_US
dc.subjectResource Managementen_US
dc.subjectDataintensive Applicationsen_US
dc.subjectVehicular Clouden_US
dc.subjectVM Migrationen_US
dc.titleTowards Cost-aware Resource Management in Federated Cloud Data Centersen_US
dc.typeThesisen_US
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PhD Theses (Computer Science and Engineering)