An efficient optimal load balancing algorithm for distributed file systems in cloud environment

被引：0

作者：

Nebagiri M.H. ^{[1
]}

Latha P.H. ^{[2
]}

机构：

[1] Department of Computer Science, Atria Institute of Technology, Bengaluru

[2] Department of Information Science, Sambhram Institute of Technology, Bengaluru

来源：

International Journal of Networking and Virtual Organisations | 2024年 / 30卷 / 02期

关键词：

cloud computing; distributed cloud computing; IKMC; improved K-means clustering; load balancing; MCSO; modified cockroach swarm optimisation; virtual environment;

D O I：

10.1504/IJNVO.2024.137542

中图分类号：

学科分类号：

摘要：

Efficient operations in distributed environments can be obtained by load balancing (LB). LB has turned out to be a vital and interesting research area with respect to the cloud owing to the swift augmentation of cloud computing, and the more services together with better outcomes demand of the clients. The work has developed a framework named an efficient optimal LB (EOLB) for distributed files system to beat the challenges faced in LB. LB was done by means of the framework centred on node distribution together with task distribution. Centred upon the data aspects as well as cloud servers, say CPU in addition to memory usage, together with disk IO occupancy rate, etc., it renders task distribution. Experimental analysis exhibits that the framework attains a better response rate of 74.68 ms, and a processing time (PT) of 0.43 ms, in addition, remains to be efficient when weighed with the prevailing methods. © 2024 Inderscience Enterprises Ltd.

引用

页码：134 / 151

页数：17

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