Size-based congestion control using network utility maximization

Cao Wang, Lachlan L.H. Andrew, Bruno L.Mendivez Vasquez, Hai L. Vu

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)550-561
Number of pages12
JournalIEEE Transactions on Control of Network Systems
Volume9
Issue number2
DOIs
Publication statusPublished - Jun 2022

Keywords

  • Congestion control
  • context awareness
  • distributed algorithm
  • network utility maximization (NUM)
  • resource allocation
  • stability

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