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A hybrid topological-stochastic partitioning method for scaling QoS routing algorithms

机译:用于缩放QoS路由算法的混合拓扑-随机划分方法

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This paper presents a new partitioning strategy with the objective of increasing scalability by reducing computational effort of routing in networks. The original network is partitioned into blocks (subnetworks) so that there is a bi-directional link between any two blocks. When there is a connection request between a pair of nodes, if the nodes are in the same block, we only use the small single block to derive routings. Otherwise we combine the two blocks where the two nodes locate and in this way the whole network will never be used. The strategy is generic in that it can be used in any underlying routing algorithms in the network layer and can be applied to any networks with fixed topology such as fixed wired subnetworks of the Internet. The performance of this strategy has been investigated by building a simulator in Java and a comparison with existing stochastic partitioning techniques is shown to give superior performance in terms of trade-off in blocking probability (the probability of failure to find a path between source and destination satisfying QoS constraints) and reduction of computational effort.
机译:本文提出了一种新的分区策略,其目的是通过减少网络中路由的计算量来增加可伸缩性。原始网络被划分为多个块(子网),因此在任何两个块之间都存在双向链接。当一对节点之间存在连接请求时,如果节点在同一块中,则我们仅使用较小的单个块来得出路由。否则,我们将两个节点所位于的两个块结合起来,这样就永远不会使用整个网络。该策略是通用的,因为它可以在网络层的任何基础路由算法中使用,并且可以应用于具有固定拓扑的任何网络,例如Internet的固定有线子网。通过在Java中构建模拟器对这种策略的性能进行了研究,并且与现有的随机分区技术进行了比较,结果表明,在阻塞概率(无法找到源与目的地之间的路径的概率)之间进行权衡时,可以提供出色的性能。满足QoS约束)并减少了计算量。

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