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Dynamic Workload Balancing Of Parallel Applications With User-level Scheduling On The Grid

机译:网格上用户级调度的并行应用程序的动态工作负载平衡

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摘要

This paper suggests a hybrid resource management approach for efficient parallel distributed computing on the Grid. It operates on both application and system levels, combining user-level job scheduling with dynamic workload balancing algorithm that automatically adapts a parallel application to the heterogeneous resources, based on the actual resource parameters and estimated requirements of the application. The hybrid environment and the algorithm for automated load balancing are described, the influence of resource heterogeneity level is measured, and the speedup achieved with this technique is demonstrated for different types of applications and resources.
机译:本文提出了一种用于在Grid上进行高效并行分布式计算的混合资源管理方法。它在应用程序和系统级别上运行,将用户级作业调度与动态工作负载平衡算法结合在一起,该算法根据实际资源参数和应用程序的估计需求自动将并行应用程序适应异构资源。描述了用于自动负载平衡的混合环境和算法,测量了资源异构性级别的影响,并证明了该技术针对不同类型的应用程序和资源实现的加速。

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