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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


Jiwu Tang, Xu Liang and Ming Huang

Corresponding Author:
Xu Liang

Dalian Jiaotong University, Dalian 116028, Liaoning, China

Beijing Information Science and Technology University, Beijing 100096, China 


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.


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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