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Policy-Based Scheduling and Resource Allocation for Multimedia Communication on Grid Computing Environment

机译:网格计算环境下基于策略的多媒体通信调度与资源分配

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摘要

This paper discusses policy-based scheduling techniques on heterogeneous resource for multimedia services to deal with the demands of next-generation multimedia applications on grid computing environment. The proposed scheduling algorithm has the following features, which can be utilized on grid computing environment. First, the algorithm supports the resource usage constrained scheduling. A grid consists of the resources that are owned by decentralized institutions. Second, the algorithm performs the optimization-based scheduling. It provides an optimal solution to the grid resource allocation problem. Third, the algorithm assumes that a set of resources is distributed geographically and heterogeneous in nature. Fourth, the scheduling method dynamically adjusts to the grid status. It tracks the current workload of the resources. The performance of the proposed algorithm is evaluated with a set of predefined metrics. In addition to show the simulation results for the out-performance of the policy-based scheduling a set of experiment is performed on open science grid.
机译:本文讨论了针对多媒体服务的异构资源的基于策略的调度技术,以应对下一代多媒体应用在网格计算环境中的需求。所提出的调度算法具有以下特点,可以在网格计算环境中利用。首先,该算法支持资源使用受限调度。网格由分散机构拥有的资源组成。其次,该算法执行基于优化的调度。它为网格资源分配问题提供了最佳解决方案。第三,该算法假设一组资源在地理上分布并且本质上是异构的。第四,调度方法可以动态调整网格状态。它跟踪资源的当前工作量。所提出算法的性能通过一组预定义指标进行评估。除了显示基于策略的调度的出色性能的仿真结果外,还在开放式科学网格上执行了一组实验。

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