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Distributed Processing System, 2022, 3(3); doi: 10.38007/DPS.2022.030302.

Process Migration and Implementation in Distributed System Based on Genetic Algorithm

Author(s)

Jiwu Tang, Xu Liang and Ming Huang

Corresponding Author:
Xu Liang
Affiliation(s)

College of Applied Technology, Dalian Ocean University, Wafangdian 116300, Liaoning, China

Abstract

Distributed system has attracted more and more attention, and the process migration and implementation in distributed system based on genetic algorithm is the current research hotspot. The process migration function is indispensable for the distributed system to obtain good load balance, high communication performance, high availability and other characteristics. The purpose of this paper is to study the process migration and implementation in distributed system based on genetic algorithm. In the experiment, the experimental environment is established, and the genetic algorithm is used. The experimental results show that the performance of the genetic algorithm is a certain performance improvement compared with ordinary algorithms. Its final completion time is better than the ordinary algorithm. Compared with that, it has a certain improvement and it can provide better system throughput with greater throughput.

Keywords

Genetic Algorithm, Distributed System, Process Migration and Implementation, Algorithm Running Time

Cite This Paper

Jiwu Tang, Xu Liang and Ming Huang. Process Migration and Implementation in Distributed System Based on Genetic Algorithm. Distributed Processing System (2022), Vol. 3, Issue 3: 9-17. https://doi.org/10.38007/DPS.2022.030302

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