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Workload utilization dissemination on grid resources for simulation environment

机译:在仿真环境下在网格资源上分配工作负载

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This paper discusses the workload utilization dissemination for grid computing. The CPU is a well-known resource item and it is an integral part in most literatures while other RI's may include memory, network and I/O overhead. The selection of resource variables and the number of RI's involved will result in different definitions of the workload. Various combination of computer RI's have been explored for studying the style of usage, techniques embedded and their capabilities. In contemplating the exploration, this study successfully describe the pattern of workload dissemination through the usage of the RI's and elicited the enhancement factors for systems performance. Among these factors are the manipulation of computer RI's, type of workload information with method of use, the workload dissemination direction along with implementation method and using certain algorithm to come out with new integrated scheduling with load balancing capability. A combination of these factors will help in developing an optimized scheduling or load balancing algorithm.
机译:本文讨论了网格计算的工作负载利用率分布。 CPU是一个众所周知的资源项目,它是大多数文献中不可或缺的一部分,而其他RI可能包括内存,网络和I / O开销。资源变量的选择和所涉及的RI的数量将导致对工作负载的不同定义。为了研究使用方式,嵌入的技术及其功能,已经探索了计算机RI的各种组合。在考虑探索的过程中,这项研究成功地描述了通过使用RI来分配工作负载的模式,并得出了增强系统性能的因素。这些因素包括计算机RI的操纵,工作负载信息的类型和使用方法,工作负载的传播方向以及实现方法,以及使用某些算法来生成具有负载平衡功能的新集成调度。这些因素的组合将有助于开发优化的调度或负载平衡算法。

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