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Size-Based Congestion Control Using Network Utility Maximization
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AI
DOI：10.1109/TCNS.2022.3165018.png)
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This article presents a method for allocating transmission rates in a communication network that uses the knowledge of the size of the file to be transmitted to seek to obtain the benefits of shortest remaining processing time (SRPT) scheduling. It provides fairness among file transmissions, taking into account their sizes and the congestion on the links they use. The proposed approach is based on network utility maximization (NUM), but with utility functions that vary in time depending on the remaining file size. A parameterized family of utility functions is proposed. For each value of the parameter, there is a threshold load such that an arbitrary network will be stable, provided that no link load exceeds that threshold. This is in contrast with SRPT, for which any nonzero load becomes unstable for topologies with sufficiently long paths. The method can be implemented by a distributed algorithm analogous to that of traditional NUM.
Keyword:
Congestion control
context awareness
distributed algorithm
network utility maximization (NUM)
resource allocation
stability
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5
论文数:
1.6K
被引数:
5.8K
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