首页> 外文期刊>Future generation computer systems >Task scheduling techniques in cloud computing: A literature survey
【24h】

Task scheduling techniques in cloud computing: A literature survey

机译:云计算中的任务调度技术:文献调查

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:云计算管理各种虚拟化资源,这使调度成为关键组件。在云中,客户端可以为每个任务利用数千个虚拟资产。因此,手动调度不是可行的解决方案。任务计划背后的基本思想是分配任务以最大程度地减少时间损失并最大化性能。过去有数项研究工作检查了任务调度。本文对任务调度策略和适用于云计算环境的相关指标进行了全面的调查。它讨论了与调度方法有关的各种问题以及需要克服的限制。研究了独特的调度程序,以发现给定系统应包含哪些特性,而哪些特性则可以忽略。文献调查是基于三个不同的角度来组织的:方法,应用程序和所使用的基于参数的度量。另外,确定了与基于云计算的调度有关的未来研究问题。 (C)2018 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号