云雾环境下任务调度与资源分配方法的研究现状与挑战

P. Mishra, A. Chaturvedi
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摘要

当众多用户需要在互联网上以服务的形式提供各种资源时,雾计算创建了一个极其高效的计算环境。必须以富有成效的方式消耗可用的资源,这样才能最大限度地减少执行任务的时间。任务调度是雾计算环境中最重要、最关键的元素。在任务调度中,将特定的任务在特定的时间分配给特定的资源。解决任务调度问题;提出了各种结果。在雾计算环境下,研究了几种任务调度策略。对任务调度和资源分配的研究进行了全面的总结,并提出了今后需要解决的突出问题。本文分析了雾环境下任务分配的研究现状。本文在分析前人常用的作业调度方法的基础上,对作业调度方法的类型、类别、执行状态和参数进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State-Of- The-Art and Research Challenges in Task Scheduling and Resource Allocation Methods for Cloud-Fog Environment
When numerous users require a variety of resources to be made available as a service over the internet, fog computing creates an extremely efficient computing environment. It is essential to consume the available resources in fruitful manner in such a way that time must be minimize to execute tasks. Task scheduling is the element of the fog computing environment that is most important and critical. In task scheduling, certain tasks are assigned to specific resources at specific times. To address the issues with task scheduling; various results are suggested. In a fog computing environment, several task scheduling strategies are examined in this paper. To provide a thorough summary of the task scheduling along with resource allocation research that has been done as well as outstanding problems that will be dealt with in the future. This study analyzes current research on task distribution in fog environment. Our paper presents the analysis of job scheduling approaches on the basis of type, categories, execution status & parameters used by numerous researchers.
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