Class-Based Grid Resource Management Strategies for On-Demand Jobs

Navdeep Kaur Kapoor; Shikharesh Majumdar; Biswajit Nandy

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Class-Based Grid Resource Management Strategies for On-Demand Jobs

机译：基于类别的按需作业网格资源管理策略

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Grid computing has emerged as a new paradigm for distributed systems, which promotes sharing of distributed resources. To maximize its benefits, it is essential to discover the resources available on the grid, and then effectively map the jobs to the resources for maximizing a given objective function. This paper focuses on the problem of matching of jobs to resources in a computing grid. Jobs are classified based on their service demands. Matching policies that use only the knowledge of job classes are introduced in this paper; simulation experiments demonstrate the effectiveness of these policies. Under a variety of different workload parameters the proposed matching policies demonstrate a performance comparable to, or better than, the well-known Minimum Completion Time matching policy, which is based on detailed a priori knowledge of jobs and resource characteristics.

机译：网格计算已经成为分布式系统的新范例，它促进了分布式资源的共享。为了最大程度地发挥其优势，必须发现网格上可用的资源，然后有效地将作业映射到资源以最大化给定的目标功能。本文着重于将作业与计算网格中的资源进行匹配的问题。作业根据其服务需求进行分类。本文介绍了仅使用工作类别知识的匹配策略。仿真实验证明了这些策略的有效性。在各种不同的工作负荷参数下，建议的匹配策略表现出的性能与众所周知的“最小完成时间”匹配策略相当或更好，后者是基于对作业和资源特征的详细先验知识而制定的。

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来源
《Simulation》 |2010年第11期|p.675-697|共23页
作者
Navdeep Kaur Kapoor; Shikharesh Majumdar; Biswajit Nandy;
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作者单位

Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada;

rnDepartment of Systems and Computer Engineering, Carleton University, Ottawa, Canada;

rnDepartment of Systems and Computer Engineering, Carleton University, Ottawa, Canada;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
computing grids; resource management; scheduling; matching on grids;

机译：计算网格;资源管理;排程网格匹配;

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Class-Based Grid Resource Management Strategies for On-Demand Jobs

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