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Combining explicit admission control and congestion control for predictable data transfers in grids

机译:结合显式许可控制和拥塞控制以实现网格中可预测的数据传输

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To improve the Grid infrastructure's efficiency, the co-reservation of distributed resources is often required. Therefore, Grid applications need to move large amounts of data between these resources within deterministic time frames. In most cases it is possible to specify the volume and the deadline in advance. This paper proposes an approach for data-movement management and bandwidth reservation in Grid, which provides a high acceptance probability of flows in the network while maintaining efficient network-resource utilization. To achieve this, our proposal combines explicit admission control and high-speed transport protocols to enable an opportunistic sharing of the capacity by flows having heterogeneous bandwidth and delay requirements. We formulate the problem and discuss several objective functions. Then we present different heuristics and evaluate them according to the request's acceptance rate and the network's utilization metrics. Our simulations include all the communication and computation overheads which are involved in such data transfers.
机译:为了提高Grid基础架构的效率,通常需要共同保留分布式资源。因此,网格应用程序需要在确定的时间范围内在这些资源之间移动大量数据。在大多数情况下,可以预先指定数量和截止日期。本文提出了一种网格中的数据移动管理和带宽预留的方法,该方法在保持网络资源有效利用的同时,提供了很高的接受网络流量的概率。为了实现这一点,我们的建议将显式的准入控制和高速传输协议相结合,以通过具有异类带宽和延迟要求的流实现容量的机会共享。我们提出问题并讨论几个目标函数。然后,我们提出不同的启发式方法,并根据请求的接受率和网络的利用率指标对它们进行评估。我们的模拟包括此类数据传输中涉及的所有通信和计算开销。

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