分析任务调度算法和负载均衡方法以提高云计算性能

Vivek Gehlot, S.P. Singh, Akash Saxena
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引用次数: 1

摘要

分布式计算是当前本地和全球PC创新的一个重点和边缘领域,它是一种能够为客户提供动态的、适应性强的虚拟资产管理的处理世界观,是对分布式注册、并行计算和矩阵计算的进一步改进。根据分布式计算的新特点,如适应性、虚拟化等,本文讨论了分布式计算中基于负载均衡的三级任务调度组件。有效的任务调度系统可以看到客户的需求,并提高资产的使用率,从而提升分布式计算的总体执行状况。本文定义了用于云计算的各种参数调度算法,特别是最大跨度调度算法。此外,还描述了云计算的分层模型和云计算的重要特征。任务调度问题在分布式计算中是至关重要的,一旦考虑到负载平衡,任务调度问题也会变得特别棘手。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing Task Scheduling Algorithms and Load Balancing Approach to Enhance the Performance of Cloud Computing
As a key and outskirts field of the present local and global PC innovation, distributed computing is a processing worldview that can give dynamic also adaptable virtual assets concluded Internet administration to clients on interest, and furthermore, it is further improvement of disseminated registering, parallel figuring also matrix figuring. As indicated by new highlights of distributed computing, for example, adaptability, virtualization and so forth, this paper talks about a three levels task Scheduling component dependent on load balancing in distributed computing. Effective task scheduling system may see clients' necessities, and improve the asset usage, along these lines upgrading general execution of the distributed computing condition. This paper defines various scheduling algorithms which use in cloud computing on various parameters, especially on makespan. Also, a layered model for cloud computing and important features of clouds computing is described.Task Scheduling issues are critical in distributed computing, also become particularly testing once considering load balance.
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