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- W2000675074 abstract "It is a critical problem that schedules cloud resource in cloud environment. Based on the characteristics of cloud computing and analysis on cloud computing resource scheduling model framework, and the traditional resource scheduling of cloud computing is only concerned the maximum completion time of the task, without taking into account the energy consumption problem, this paper uses an improved particle swarm optimization, that is, when the optimal solution did not change for two generations, traversing through the chaotic particle method for local optimization to accelerate access to global optimal solution. Then, compared this algorithm with other scheduling algorithms by simulating, proved that better scheduling scheme can be achieved, as well as the effectiveness and practicality of the algorithm." @default.
- W2000675074 created "2016-06-24" @default.
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- W2000675074 date "2014-04-01" @default.
- W2000675074 modified "2023-09-25" @default.
- W2000675074 title "Study on Energy-Saving Efficient Resource Scheduling Optimization Algorithm in Cloud Computing" @default.
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- W2000675074 doi "https://doi.org/10.4028/www.scientific.net/amr.915-916.1285" @default.
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