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- W3111344124 abstract "Cloud computing is an important technology for bulk data storage, resource mobilization and online access to computer services. In the cloud computing platform there are plenty of resources, but the foremost challenge is to allocate tasks. The vital issue in scheduling is how the entire task could be allocated with maximized resource utilization to a resultant virtual machine, existing scheduling algorithms mainly focused on minimization of the task execution time while ignoring the SLA (Service Level Agreement) and QoS (Quality of Service) assurance. This paper thrives to accomplish the total task with eminent resource utilization, minimum migration cost, and minimum utilization of energy. For attaining these objectives, the proposed method utilizes the hybrid algorithm such as Fuzzy-TOPSIS and particle swarm optimization (PSO) approach. Initially the available task and the no. of VMs (virtual machines) are optimized by PSO algorithm. In the cloud, the multi-objective SLA based task scheduling problem is solved by the Fuzzy TOPSIS which uses the weighted sum of energy, cost and execution time as an objective function. Fuzzy TOPSIS method is work positively for many applications and impacts liberally on real world decision making concerns. The proposed approach is investigated based on the distinct evaluation metrics. Our proposed algorithm outperforms the existing approaches and achieves better results in terms of QoS parameters. The implementation had done using JAVA with CloudSim simulator." @default.
- W3111344124 created "2020-12-21" @default.
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- W3111344124 date "2020-12-01" @default.
- W3111344124 modified "2023-10-16" @default.
- W3111344124 title "WITHDRAWN: An optimal SLA based task scheduling aid of hybrid fuzzy TOPSIS-PSO algorithm in cloud environment" @default.
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- W3111344124 doi "https://doi.org/10.1016/j.matpr.2020.10.082" @default.
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