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Distributed QoS multicast routing in networks with imprecise state information

机译:状态信息不精确的网络中的分布式QoS多播路由

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摘要

The goal of quality-of-service (QoS) multicast routing is to establish a multicast tree which satisfies certain constraints on bandwidth, delay and other metrics. The network state information maintained at every node is often imprecise in a dynamic environment because of non-negligible propagation delay of state messages, periodic updates due to overhead concern, and hierarchical state aggregation. The existing QoS multicast routing algorithms do not provide satisfactory performance with imprecise state information. We propose a distributed QoS multicast routing scheme based on traffic lights, called QMRI algorithm, which can probe multiple feasible tree branches, and select the optimal or near-optimal branch through the UR or TL mode for constructing a multicast tree with QoS guarantees if it exists. The scheme is designed to work with imprecise state information. The proposed algorithm considers not only the QoS requirements but also the cost optimality of the multicast tree. The correctness proof and the complexity analysis about the QMRI algorithm are also given. In addition, we develop NS2 so that it is able to simulate the imprecise network state information. Extensive simulations show that our algorithm achieves high call-admission ratio and low-cost multicast trees with modest message overhead.
机译:服务质量(QoS)多播路由的目标是建立一个满足带宽,延迟和其他度量标准的多播树。由于状态消息的传播延迟不可忽略,由于开销问题而导致的定期更新以及分层状态聚合,因此在动态环境中在每个节点维护的网络状态信息通常不准确。现有的QoS多播路由算法无法提供具有不精确状态信息的令人满意的性能。我们提出了一种基于交通信号灯的分布式QoS组播路由方案,称为QMRI算法,它可以探测多个可行的树分支,并通过UR或TL模式选择最优或接近最优的分支,以构建具有QoS保证的组播树。存在。该方案旨在处理不精确的状态信息。该算法不仅考虑了QoS要求,还考虑了组播树的成本最优性。给出了QMRI算法的正确性证明和复杂度分析。此外,我们开发了NS2,使其能够模拟不精确的网络状态信息。大量的仿真表明,我们的算法以适度的消息开销实现了较高的呼叫允许率和低成本的多播树。

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