期刊
WIRELESS PERSONAL COMMUNICATIONS
卷 121, 期 3, 页码 2327-2345出版社
SPRINGER
DOI: 10.1007/s11277-021-08825-1
关键词
Cloud Computing; Meta-heuristic; Optimization; Hybrid; Task scheduling; Parameters
The paper introduces a task scheduling solution in cloud computing based on a hybrid Whale Harmony optimization algorithm. Experimental results demonstrate that the algorithm performs well in achieving load balance with lower execution time, cost, and energy consumption.
Cloud computing utilizes the ideas of planning and loads adjusting to relocate the assignments to underutilize VMs for adequately sharing the assets. Assignment planning is one of the basic issues in this condition identified with it. Cloud errand booking, an NP-hard improvement issue, has been attempted to tackle utilizing numerous meta-heuristic calculations. The substance ahead has two meta-heuristic calculations are consolidated in particular Whale Optimization Algorithm and Harmony Search Algorithm. This paper proposes a cloud errand booking arrangement dependent on half and half Whale Harmony enhancement calculation. The principal commitment of this work is adjusting the framework stack while endeavoring to limit the makespan and cost of a given arrangement of assignments. The CloudSim toolbox bundle was utilized to reproduce the new scheduling technique. At last, this method directs an examination to exhibit the execution of the proposed calculation. The trial results demonstrate that the proposed calculation can accomplish the objective of load balance in an abnormal state with lower execution time, cost and energy consumption.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据