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Critical path based scheduling algorithm for workflow applications in cloud computing

机译:云计算中基于关键路径的工作流调度算法

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Cloud computing is a computing paradigm where platform, scalable resources, data storage and IT services are provided over the Internet. With the very attractive features, Cloud computing becomes very popular in the IT market, businesses, government organizations and educational departments. Nowadays, task scheduling problem is the current research topic in cloud computing environment. Achieving deadline and reducing cost is the main objectives when we schedule tasks of workflow application on the resources. In this paper, we propose a critical path based workflow scheduling algorithm for cloud computing environment whose main aim is to meet the deadline by finding critical path tasks and reduce overall execution cost of workflow application. We schedule workflow application tasks on resources in such a way that the total execution cost of workflow application is reduced. Experimental result shows that the proposed algorithm minimizes the execution cost of workflow application as compared to the min-min and max-min scheduling algorithm and complete all tasks of workflow application within deadline.
机译:云计算是一种计算范例,其中通过Internet提供平台,可伸缩资源,数据存储和IT服务。凭借非常吸引人的功能,云计算在IT市场,企业,政府组织和教育部门中变得非常流行。如今,任务调度问题已成为当前云计算环境中的研究课题。当我们在资源上调度工作流应用程序的任务时,实现截止日期和降低成本是主要目标。本文针对云计算环境提出了一种基于关键路径的工作流调度算法,其主要目的是通过找到关键路径任务来满足截止日期,并降低工作流应用程序的总体执行成本。我们以减少工作流程应用程序总执行成本的方式在资源上安排工作流程应用程序任务。实验结果表明,与最小-最大和最大-最小调度算法相比,该算法使工作流应用的执行成本最小化,并在截止期限内完成了工作流应用的所有任务。

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