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Grid_JQA: A QoS Guided Scheduling Algorithm for Grid Computing

机译:Grid_JQA:网格计算的QoS引导调度算法

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The Grid is an emerging technology for enabling resource sharing and coordinated problem solving in dynamic multi-institutional virtual organizations. The resource matching problem in the Grid involves assigning resources to tasks in order to satisfy task requirements and resource policies. This contribution presents algorithms, methods, and software for a Grid resource manager, responsible for resource brokering and scheduling in Grids. The broker selects computing resources based on actual job requirements and a number of criteria identifying the available resources, with the aim to minimize the turnaround time for the individual application. In pervious work, we proposed Grid-JQA [8] [9]. In this work we propose an aggregation formula for the QoS parameters. The formula is a unit less combination of the parameters together with weighting factors. It is shown that the formula needs to put into a threshold consideration. A discussion on the threshold and its level is also provided. The paper introduces an optimum but not practical solution for matching. The optimum method is considered for comparing other practical solutions. Main features of the resource manager include resource selection based on active database rules and environmental conditions and a basic adaptation facility. The paper is finalized by the results obtained from simulation and a comparison study.
机译:该网格是一种用于在动态多机构虚拟组织中实现资源共享和协调问题的新兴技术。网格中的资源匹配问题涉及将资源分配给任务,以满足任务要求和资源策略。此贡献为网格资源管理器提供算法,方法和软件,负责资源经纪和在网格中调度。代理基于实际作业要求和识别可用资源的许多标准选择计算资源,其目的是最小化各个应用程序的周转时间。在透过的工作中,我们提出了Grid-JQA [8] [9]。在这项工作中,我们提出了QoS参数的聚合公式。该公式是参数与加权因子一起的单位少组合。结果表明,该公式需要投入阈值考虑。还提供了关于阈值及其水平的讨论。本文介绍了最佳但不是实用的匹配解决方案。考虑最佳方法,用于比较其他实用解决方案。资源管理器的主要功能包括基于活动数据库规则和环境条件以及基本适应设施的资源选择。本文通过模拟和比较研究获得的结果最终确定。

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