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首页> 外文会议>International Conference on Computational Science - ICCS 2003 Pt.3 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia >Proposing and Evaluating Allocation Algorithms in a Grid Environment
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Proposing and Evaluating Allocation Algorithms in a Grid Environment

机译：网格环境中的提议和评估分配算法

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摘要

Distributed computing addresses workload challenges by aggregating and allocating computing resources to provide for unlimited processing power. In the last ten years, it has grown from a concept that would enable organizations to simply balance workloads across heterogeneous computer resources, to an ubiquitous solution that has been embraced by some of the world's leading organizations across multiple industry sectors. And while distributed computing harnesses the full potential of existing computer resources by effectively matching the supply of processing cycles with the demand created by applications, even more importantly it has paved the way for grid computing - a more powerful, yet global approach to resource sharing. The aim of this paper is to propose new allocation algorithms for workload management in a computing grid environment. A simulation tool is used to validate and estimate performance of these algorithms. The paper is organised as follows. After a brief introduction about grid environment and on the DataGrid Project in Section 1, Section 2 presents the proposal for novel allocation policies. Finally, Section 3 provides for a performance evaluation of the algorithms proposed, comparing their performances it with those offered by the actual solution adopted in the DataGrid Project.
机译：分布式计算通过聚合和分配计算资源以提供无限的处理能力来解决工作量挑战。在过去的十年中，它已经从使组织能够简单地平衡异构计算机资源之间的工作负载的概念发展到一种遍及全球的，跨多个行业部门的领先组织所接受的解决方案。尽管分布式计算通过有效地匹配处理周期的供应和应用程序所产生的需求来充分利用现有计算机资源的全部潜力，但更重要的是，它为网格计算铺平了道路-一种更强大而又全球化的资源共享方法。本文的目的是为计算网格环境中的工作负载管理提出一种新的分配算法。仿真工具用于验证和估计这些算法的性能。本文的组织如下。在简要介绍了网格环境以及第1节中的DataGrid项目之后，第2节介绍了新颖的分配策略的建议。最后，第3节提供了对所提出算法的性能评估，并将其性能与DataGrid项目中采用的实际解决方案所提供的性能进行了比较。

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