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Effect of Multiple Flow on Performance of Real-Time Data Grids

机译:多重流对实时数据网格性能的影响

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Multicommodity flow problem deals with delivering multiple data items residing on different source machines on a networking system to their destinations in an efficient manner, while respecting the bandwidth and cost limitations that may be imposed on the system components. Real-time Data Grid applications are emerging in many disciplines of science and engineering today. This study defines a real-time multisource real-time data dissemination problem and divides the problem into two sub problems. First sub problem is to find the routes on which the data transfers occur. Second sub problem is to determine the amount of flow to be committed on each route. Effect of varying diversity and link delay on the real-time performance is considered and results are discussed.
机译:多商品流问题涉及有效地将驻留在网络系统上不同源机器上的多个数据项传递到它们的目的地,同时考虑到可能对系统组件施加的带宽和成本限制。如今,实时数据网格应用程序正在科学和工程学的许多学科中兴起。这项研究定义了一个实时多源实时数据分发问题,并将该问题分为两个子问题。第一个子问题是找到发生数据传输的路由。第二个子问题是确定要在每个路由上提交的流量。考虑了变化的分集和链路延迟对实时性能的影响,并讨论了结果。

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