A Hybrid Approach for Task Scheduling in the Cloud Environment

Krishan Tuli, M. Malhotra
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Abstract

In today’s world, Cloud Computing has been considered as the best concept for the virtualization of various resources. There are various approaches that have been available for improvising the load balancing and also to improvise the job scheduling in the concept of cloud. Cloud Computing has offers the on-demand allocation of resources to users and this feature of cloud makes it a best among various technologies. Cloud computing provides great performance in less maintenance cost. So, Task scheduling has become a very important factor in enhancing the performance of resources dynamically and at low cost, which is the most crucial part of cloud computing. In other words, we can say that allocation of resources and task scheduling are the two major factors that are considered for the better performance and they must be organized precisely. The author has focused on enhancing the task scheduling process by creating a hybrid optimization algorithm and named as Cuckoo Harmony Search Algorithm (CHSA) to remove the task scheduling problem.
云环境下任务调度的混合方法
在当今世界,云计算被认为是各种资源虚拟化的最佳概念。在云概念中,有各种各样的方法可以用于临时负载平衡和临时作业调度。云计算为用户提供了按需分配的资源,云的这一特性使其成为各种技术中的佼佼者。云计算以较低的维护成本提供了出色的性能。因此,任务调度已经成为动态地、低成本地提高资源性能的一个非常重要的因素,是云计算最关键的部分。换句话说,我们可以说资源分配和任务调度是考虑更好的性能的两个主要因素,它们必须精确地组织起来。作者着重于改进任务调度过程,创建了一种混合优化算法,并将其命名为布谷鸟和谐搜索算法(Cuckoo Harmony Search algorithm, CHSA)来解决任务调度问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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