WHOA: Hybrid Based Task Scheduling in Cloud Computing Environment

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.

Automated summary

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.