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QoS Guided Min-Min Heuristic for Grid Task Scheduling

机译：QoS指导的Min-Min启发式网格任务调度

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摘要

Task scheduling is an integrated component of computing. With the emergence of Grid and ubiquitous computing, new challenges appear in task scheduling based on properties such as security, quality of service, and lack of central control within distributed administrative domains. A Grid task scheduling framework must be able to deal with these issues. One of the goals of Grid task scheduling is to achieve high system throughput while matching applications with the available computing resources. This matching of resources in a non-deterministically shared heterogeneous environment leads to concerns over Quality of Service (QoS). In this paper a novel QoS guided task scheduling algorithm for Grid computing is introduced. The proposed novel algorithm is based on a general adaptive scheduling heuristics that includes QoS guidance. The algorithm is evaluated within a simulated Grid environment. The experimental results show that the new QoS guided Min-Min heuristic can lead to significant performance gain for a variety of applications. The approach is compared with others based on the quality of the prediction formulated by inaccurate information.
机译：任务调度是计算的集成组件。随着网格的出现和无处不在的计算，基于诸如安全性，服务质量以及分布式管理域内缺乏中央控制等属性的任务调度中出现了新的挑战。网格任务调度框架必须能够处理这些问题。网格任务调度的目标之一是实现高系统吞吐量，同时将应用程序与可用的计算资源进行匹配。在不确定地共享的异构环境中的资源匹配导致对服务质量（QoS）的担忧。本文介绍了一种新的用于网格计算的QoS指导任务调度算法。提出的新颖算法基于包括QoS指导的通用自适应调度启发法。在模拟网格环境中评估该算法。实验结果表明，新的QoS指导的Min-Min启发式算法可以为多种应用带来显着的性能提升。根据不准确信息制定的预测质量，将该方法与其他方法进行比较。

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