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Optimal sub-graph selection over coded networks with delay and limited-size buffering the authors consider

机译:作者考虑的具有延迟和有限大小缓冲的编码网络上的最优子图选择

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摘要

The authors consider the problem of finding a minimum cost multicast sub-graph based on network coding, where delay values associated with each link, limited buffer-size of the intermediate nodes and link capacity variations over time are taken into account. The authors consider static multicast (where membership of the multicast group remains constant for the duration of the connection) in lossless wireline networks. For such networks, first the continuous-time (asynchronous packet transmissions) model is formulated. Subsequently, the discrete-time model for the synchronous packet transmissions scenario is derived. Then, by using an auxiliary time-expanded network, a decentralised algorithm in the presence of link delays, limited buffer-size and time-varying link capacity is proposed. The proposed algorithm when coupled with decentralised code construction schemes results in a fully decentralised approach for achieving minimum-cost in such multicast networks. Also, how adding buffering capability at intermediate nodes reduces the overall cost of the optimal sub-graph is discussed in this study. In addition, as will be shown, inclusion of buffering capacity at intermediate nodes makes it possible to find minimum multicast solution in scenarios that such solutions do not exist otherwise.
机译:作者考虑了基于网络编码找到最低成本的多播子图的问题,其中考虑了与每个链路相关的延迟值,中间节点的有限缓冲区大小以及链路容量随时间的变化。作者考虑了无损有线网络中的静态多播(在连接期间多播组的成员身份保持不变)。对于这样的网络,首先建立连续时间(异步分组传输)模型。随后,导出用于同步分组传输场景的离散时间模型。然后,通过使用辅助的时间扩展网络,提出了一种在存在链路延迟,有限的缓冲区大小和时变链路容量的情况下的分散算法。所提出的算法与分散的代码构造方案相结合,导致了一种完全分散的方法,可以在这种多播网络中实现最低成本。此外,在本研究中还讨论了如何在中间节点处增加缓冲能力以减少最佳子图的总体成本。另外,如将显示的,在中间节点处包括缓冲容量使得有可能在否则不存在这种解决方案的情况下找到最小的组播解决方案。

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