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- W3153384901 abstract "To handle data storage and rapid growth of social media, IoT, wireless communication and digitization, cloud computing is an evolving paradigm. It is also a profitable business for the large players hence many providers are coming forward to facilitate the cloud provider solutions for their customers. Since many providers are enabling such services to their customers, selecting the best one is a multi-criteria selection problem and needs to be carried out. This paper proposes a mathematical model for constrained multi-criteria federated cloud provider selection. The HHO meta-heuristics algorithm is discussed and compared with TLBO and Jaya. For the comparison, robust design method of Taguchi's was used for selecting the algorithm parameters, feasible solution is rendered by Analytic Hierarchy Process (AHP), a widely used technique for solving the problem of cloud provider selection in a federated cloud. Results show that HHO, TLBO Algorithm, Jaya improved the AHP solution by 68.8%, 61.43%, and 62.02%, respectively." @default.
- W3153384901 created "2021-04-26" @default.
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- W3153384901 date "2020-12-26" @default.
- W3153384901 modified "2023-10-16" @default.
- W3153384901 title "HHO Algorithm for Cloud Service Provider Selection" @default.
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- W3153384901 doi "https://doi.org/10.1109/wiecon-ece52138.2020.9397936" @default.
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