(Enter summary)
Abstract: We present a framework for designing end-to-end congestion
control schemes in a network where each user may have a different
utility function. We first show that there exists an additive increasemultiplicative
decrease scheme using only end-to-end measurable losses
such that a socially-optimal solution can be reached. We incorporate noncongestion
-related random losses and round-trip delay in this model, and
show that one can generalize observations regarding TCP-type congestion
avoidance to... (Update)
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BibTeX entry: (Update)
Srisankar Kunniyur and R. Srikant. End--to--end congestion control schemes: utility functions, random losses and ECN marks. In Proceedings of IEEE Infocom, March 2000. http://citeseer.ist.psu.edu/kunniyur00endtoend.html More
@inproceedings{ kunniyur00endtoend,
author = "Srisankar Kunniyur and R. Srikant",
title = "End-to-End Congestion Control Schemes: Utility Functions, Random Losses and {ECN} Marks",
booktitle = "{INFOCOM} (3)",
pages = "1323-1332",
year = "2000",
url = "citeseer.ist.psu.edu/kunniyur00endtoend.html" }
Citations (may not include all citations):
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Random early detection gateways for congestion avoidance
- Floyd, Jacobson - 1993
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Promoting the use of end-to-end congestion control in the In..
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Connections with multiple congested gateways in packet-switc..
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ACM Computer Communication Review (context) - Floyd, Explicit - 1994
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IP performance over wireless networks (context) - Balakrishnan, Seshan et al. - 1995
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Distributed connection acceptance control for a connectionle..
- Gibbens, Kelly
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Gallager Data Networks (context) - Bertsekas - 1987
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Best-effort versus reservations: a simple comparative analys.. (context) - Breslau, Shenker - 1998
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