Application Research Based on Intelligent Computation for Cloud Computing Resource Scheduling

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Provided by: AICIT
Topic: Cloud
Format: PDF
Aiming at the optimization problem of the cloud computing service cluster resource schedule and loading balance, this paper investigates cloud computing resource schedule strategy based on intelligent algorithm including genetic algorithm, differential evolution algorithm, and particle swarm algorithm. In order to improve resource scheduling efficiency, the authors presents an improved algorithm based on differential evolution algorithm. They adopt CloudSim to simulate resource scheduling under different intelligent algorithm. The experiment shows that the improved differential evolution algorithm can quickly find appropriate virtual machine resources and allocate task for user.
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