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OMNI: An efficient overlay multicast infrastructure for real-time applications

机译:OMNI:用于实时应用程序的高效覆盖多播基础结构

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摘要

We consider an overlay architecture (called OMNI) where service providers deploy a set of service nodes (called MSNs) in the network to efficiently implement media-streaming applications. These MSNs are organized into an overlay and act as application-layer multicast forwarding entities for a set of clients. We present a decentralized scheme that organizes the MSNs into an appropriate overlay structure that is particularly beneficial for real-time applications. We formulate our optimization criterion as a "degree-constrained minimum average-latency problem" which is known to be NP-Hard. A key feature of this formulation is that it gives a dynamic priority to different MSNs based on the size of its service set. Our proposed approach iteratively modifies the overlay tree using localized transformations to adapt with changing distribution of MSNs and clients, as well as network conditions. We show that a centralized greedy approach to this problem does not perform quite as well, while our distributed iterative scheme efficiently converges to near-optimal solutions.
机译:我们考虑一种覆盖体系结构(称为OMNI),其中服务提供商在网络中部署一组服务节点(称为MSN)以有效地实现媒体流应用程序。这些MSN被组织成一个叠加层,并充当一组客户端的应用程序层多播转发实体。我们提出了一种分散的方案,该方案将MSN组织到适当的覆盖结构中,这对于实时应用程序特别有用。我们将优化标准公式化为“度约束的最小平均延迟问题”,这就是NP-Hard。此公式的关键特征是,它根据服务集的大小为不同的MSN提供动态优先级。我们提出的方法使用局部转换来迭代修改覆盖树,以适应不断变化的MSN和客户端分布以及网络状况。我们展示了针对此问题的集中式贪婪方法的效果不佳,而我们的分布式迭代方案有效地收敛到了接近最优的解决方案。

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