Task scheduling techniques in cloud computing: A literature survey
Task scheduling techniques in cloud computing: A literature survey
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DOI：
10.1016/j.future.2018.09.014
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发表时间：
2019-02-01
影响因子：
7.5
通讯作者：
Sugumaran, Vijayan
中科院分区：
文献类型：
--
作者：
Arunarani, A. R.;Manjula, D.;Sugumaran, Vijayan
云计算管理各种虚拟化资源，这使得调度成为关键组件。在云中，客户端可以针对每个任务利用数千个虚拟化资产。因此，手动调度不是一个可行的解决方案。任务调度背后的基本思想是将任务设置为最小化时间损失并最大化性能。在过去，一些研究工作已经研究了任务调度。本文提出了一个全面的调查任务调度策略和相关的指标适用于云计算环境。它讨论了与调度方法有关的各种问题和需要克服的局限性。不同的调度程序进行了研究，以发现哪些特性是包括在一个给定的系统，哪些可以忽略。文献调查是基于三个不同的角度组织的：方法，应用程序和基于参数的措施。此外，未来的研究问题相关的云计算为基础的调度。(C)2018爱思唯尔B.V.保留所有权利。
Cloud computing manages a variety of virtualized resources, which makes scheduling a critical component. In the cloud, a client may utilize several thousand virtualized assets for every task. Consequently, manual scheduling is not a feasible solution. The basic idea behind task scheduling is to slate tasks to minimize time loss and maximize performance. Several research efforts have examined task scheduling in the past. This paper presents a comprehensive survey of task scheduling strategies and the associated metrics suitable for cloud computing environments. It discusses the various issues related to scheduling methodologies and the limitations to overcome. Distinctive scheduling procedures are studied to discover which characteristics are to be included in a given system and which ones to disregard. The literature survey is organized based on three different perspectives: methods, applications, and parameter-based measures utilized. In addition, future research issues related to cloud computing-based scheduling are identified. (C) 2018 Elsevier B.V. All rights reserved.