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Dynamic Multicast in Overlay Networks with Linear Capacity Constraints

机译:具有线性容量约束的覆盖网络中的动态组播

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In a peer-to-peer overlay network, the phenomenon of multiple overlay links sharing bottleneck physical links leads to correlation of overlay link capacities. We are able to more accurately model the overlay by incorporating these linear capacity constraints (LCCs). We formulate the problem of maximizing bandwidth in overlay multicast using our LCC model. We show that finding a maximum bandwidth multicast tree in an overlay network with LCC is NP-complete. Therefore, an efficient heuristics algorithm is designed to solve the problem. Extensive simulations show that our algorithm is able to construct multicast trees that are optimal or extremely close to optimal, with significantly higher bandwidth than trees formed in overlays with no LCC. Furthermore, we develop a fully distributed algorithm for obtaining near-optimal multicast trees, by means of gossip-based algorithms and a restricted but inherently distributed class of LCC (node-based LCC). We demonstrate that the distributed algorithm converges quickly to the centralized optimal and is highly scalable.
机译:在对等覆盖网络中,多个覆盖链路共享瓶颈物理链路的现象导致覆盖链路容量的相关性。通过合并这些线性容量约束(LCC),我们能够更准确地对覆盖层进行建模。我们使用LCC模型来制定最大化覆盖多播带宽的问题。我们表明,在具有LCC的覆盖网络中找到最大带宽的多播树是NP完全的。因此,设计了一种有效的启发式算法来解决该问题。大量的仿真表明,我们的算法能够构建最佳或非常接近最佳的多播树,其带宽比没有LCC的覆盖树中形成的树高得多。此外,我们开发了一种完全分布式的算法,借助基于八卦的算法和受限但固有分布的LCC类(基于节点的LCC)来获得接近最优的多播树。我们证明了分布式算法可以快速收敛到集中式最优算法,并且具有高度可扩展性。

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