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Efficient rate-controlled bulk data transfer using multiple multicast Groups

机译:使用多个组播组进行高效的速率控制的批量数据传输

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Controlling the rate of bulk data multicast to a large number of receivers is difficult, due to the heterogeneity among the end systems' capabilities and their available network bandwidth. If the data transfer rate is too high, some receivers will lose data, and retransmissions will be required. If the data transfer rate is too slow, an inordinate amount of time will be required to transfer the data. In this paper, we examine an approach toward rate-controlled multicast of bulk data in which the sender uses multiple multicast groups to transmit data at different rates to different subgroups of receivers. We present simple algorithms for determining the transmission rate associated with each multicast channel, based on static resource constraints, e.g., network bandwidth bottlenecks. Transmission rates are chosen so as to minimize the average time needed to transfer data to all receivers. Analysis and simulation are used to show that our policies for rate selection perform well for large and diverse receiver groups and make efficient use of network bandwidth. Moreover, we find that only a small number of multicast groups are needed to reap most of the possible performance benefits.
机译:由于终端系统功能及其可用网络带宽之间的异质性,很难控制向大量接收者的批量数据多播速率。如果数据传输速率太高,某些接收器将丢失数据,并且需要重新传输。如果数据传输速率太慢,则需要花费大量时间来传输数据。在本文中,我们研究了一种对批量数据进行速率控制的多播的方法,其中发送方使用多个多播组以不同的速率将数据传输到接收方的不同子组。我们提出了基于静态资源约束(例如,网络带宽瓶颈)的用于确定与每个多播通道关联的传输速率的简单算法。选择传输速率以使将数据传输到所有接收器所需的平均时间最小化。通过分析和仿真表明,我们的速率选择策略在各种不同的接收者组中均能很好地发挥作用,并有效利用网络带宽。此外,我们发现只需少量的多播组即可获得大多数可能的性能优势。

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