云计算环境下任务调度算法的相关研究

Syed Arshad Ali, Mansaf Alam
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引用次数: 25

摘要

云计算是并行处理和分布式计算的典范。它以按价付费的方式提供计算设施作为公用事业服务。虚拟化、自助服务、弹性和按次付费是云计算的关键特性。它通过Internet提供不同类型的资源来执行用户提交的任务。在云环境中,大量任务同时执行,需要有效的任务调度来获得更好的云系统性能。可以使用各种基于云的任务调度算法,将用户的任务调度到资源中执行。由于云计算的新颖性,传统的调度算法无法满足云的需求,研究人员正在尝试修改传统的算法,以满足云的需求,如快速弹性、资源池和按需自助服务。本文从执行时间、吞吐量、makespan、资源利用率、服务质量、能耗、响应时间和成本等调度参数出发,对任务调度算法的现状进行了讨论和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A relative study of task scheduling algorithms in cloud computing environment
Cloud Computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, self-service provisioning, elasticity and pay per use are the key features of Cloud Computing. It provides different types of resources over the Internet to perform user submitted tasks. In cloud environment, huge number of tasks are executed simultaneously, an effective Task Scheduling is required to gain better performance of the cloud system. Various Cloud-based Task Scheduling algorithms are available that schedule the user's task to resources for execution. Due to the novelty of Cloud Computing, traditional scheduling algorithms cannot satisfy the cloud's needs, the researchers are trying to modify traditional algorithms that can fulfil the cloud requirements like rapid elasticity, resource pooling and on-demand self-service. In this paper the current state of Task Scheduling algorithms has been discussed and compared on the basis of various scheduling parameters like execution time, throughput, makespan, resource utilization, quality of service, energy consumption, response time and cost.
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