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A comprehensive survey on Task Scheduling for parallel workloads based on Particle Swarm optimisation under Cloud environment

机译:基于云环境下粒子群优化的平行工作负载任务调度全面调查

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Cloud Computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about Particle Swarm optimisation (PSO) algorithm and its several variants for task scheduling in cloud environment. PSO produces better results for task Scheduling Problems. This paper gives an insight to the researchers about various aspects of PSO and Task Scheduling.
机译:云计算是一个新的新兴范式,可提供各种计算资源以满足开发的计算需求。调度任务造成许多困难,因为云计算资源是复杂的,动态的,异构,分布在自然界中。任务调度旨在最大限度地减少MapEspan并最大限度地提高资源利用率。本文给出了关于粒子群优化(PSO)算法及其云环境中任务调度的几种变体的思考。 PSO为任务调度问题产生更好的结果。本文对研究人员提供了关于PSO和任务调度的各个方面的介绍。

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