Improved PSO resource allocation method in cloud environment

Shengye Zhao; Wenjiang Wu

doi:10.1117/12.2589580

20 January 2021 Improved PSO resource allocation method in cloud environment

Shengye Zhao, Wenjiang Wu

Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 1171914 (2021) https://doi.org/10.1117/12.2589580
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China

Abstract

In cloud computing, the resource allocation of cloud platform faces not only single node resource request, but also complex multi-node resource request. Especially for users who need to run parallel or distributed tasks, there are very strict delay and bandwidth requirements for communication between nodes in cloud cluster. Existing cloud platforms often allocate resources one by one virtual machine, ignoring or making it difficult to guarantee the link resources between nodes, that is to say, there is a problem of multi resource allocation in cloud clusters. Therefore, this paper proposes a new cloud resource description method, and improves the allocation method of particle swarm cloud resource. The simulation results show that the proposed method can effectively allocate cloud resources, improve the average revenue and resource utilization of cloud resources, reduce the resource cost by at least 10% compared with the traditional methods, and have shorter task execution time (within 30ms).

Citation Download Citation

Shengye Zhao and Wenjiang Wu "Improved PSO resource allocation method in cloud environment", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 1171914 (20 January 2021); https://doi.org/10.1117/12.2589580

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