Improved coexistence and loss tolerance for delay based TCP congestion control


Conference paper


D. A. Hayes, G. Armitage
Proceedings of IEEE Local Computer Network Conference (LCN), IEEE Local Computer Network Conference, 2010 Oct, pp. 24--31


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APA   Click to copy
Hayes, D. A., & Armitage, G. (2010). Improved coexistence and loss tolerance for delay based TCP congestion control. In IEEE Local Computer Network Conference (pp. 24–31). https://doi.org/10.1109/LCN.2010.5735714


Chicago/Turabian   Click to copy
Hayes, D. A., and G. Armitage. “Improved Coexistence and Loss Tolerance for Delay Based TCP Congestion Control.” In IEEE Local Computer Network Conference, 24–31, 2010.


MLA   Click to copy
Hayes, D. A., and G. Armitage. “Improved Coexistence and Loss Tolerance for Delay Based TCP Congestion Control.” IEEE Local Computer Network Conference, 2010, pp. 24–31, doi:10.1109/LCN.2010.5735714.


BibTeX   Click to copy

@inproceedings{d2010a,
  title = {Improved coexistence and loss tolerance for delay based TCP congestion control},
  year = {2010},
  month = oct,
  journal = {IEEE Local Computer Network Conference},
  pages = {24--31},
  doi = {10.1109/LCN.2010.5735714},
  author = {Hayes, D. A. and Armitage, G.},
  booktitle = {Proceedings of IEEE Local Computer Network Conference (LCN)},
  howpublished = {},
  month_numeric = {10}
}

Awarded Best Paper at LCN 2010

Abstract

Loss based TCP congestion control has been shown to not perform well in environments were there is non-congestion related packet losses. Delay based TCP congestion control algorithms provide a low latency connection with no congestion related packet losses, and have the potential for being tolerant to non-congestion related losses. Unfortunately, delay based TCP does not compete well with loss based TCP, currently limiting its deployment. We propose a delay based algorithm which extends work by Budzisz et al. [1] to provide tolerance to non-congestion related losses, and better coexistence with loss based TCP in lightly multiplexed environments. We demonstrate that our algorithm improves the throughput when there are 1% packet losses by about 150%, and gives more than 50% improvement in the ability to share capacity with NewReno in lightly multiplexed environments.


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