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Pruning Network Coding Traffic by Network Coding—A New Class of Max-Flow Algorithms

机译:通过网络编码修剪网络编码流量—一种新的最大流算法

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摘要

This work explores new graph-theoretic and algebraic behaviors of network codes and provides a new class of coding-based, distributed max-flow algorithms. The proposed algorithm starts from broadcasting the coded packets, followed by continuously trimming the redundant traffic that does not constitute the maximum flow of the network information. The convergence speed of the proposed algorithms is no slower than that of the existing push-&-relabel max-flow algorithms. The algorithmic results in this work also possess several unique features that are especially suitable for practical network implementation with low control, communication, and complexity overhead.
机译:这项工作探索了网络代码的新的图论和代数行为,并提供了一类新的基于编码的分布式最大流算法。所提出的算法从广播编码的数据包开始,然后连续修剪不构成网络信息最大流量的冗余流量。所提出的算法的收敛速度并不比现有的push-&-relabel max-flow算法慢。这项工作的算法结果还具有几个独特的功能,这些功能特别适用于控制,通信和复杂性开销较低的实际网络实现。

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