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E-TCP: an evolutionary computation approach for congestion avoidance in bulk-data transfers networks

Published: 28 March 2008 Publication History

Abstract

This paper describes E-TCP, an evolutionary computation approach for TCP. It is designed to avoid heavy congested areas by using an evolutionary path adaptation of the outgoing packets. E-TCP is evaluated through simulations using ns2. E-TCP delivers a significant performance improvement for bulk data transfers.

References

[1]
D. L. Mills, "The Fuzzball" Proceeding of ACM SIGCOMM'88, Pages: 115--122.
[2]
C. Song and L. H. Landweber, "Optimizing bulk data transfer performance: a packet train model" Proceeding of ACM SIGCOMM'88, Pages: 134--145.
[3]
R. Jain, "Congestion control in computer networks: Issues and Trends" Published in IEEE Network Magazine, Pages 24--30. May 1990.
[4]
V. Jacobson and M. Karels, "Congestion avoidance and control," Proceeding of ACM SIGCOMM'88, Aug. 1988.
[5]
Floyd, S., Handley, M., Padhye, J., and Widmer, J., "Equation-Based Congestion Control for Unicast Applications," Proc. of SIGCOMM'00, 2000.
[6]
D. Harrison, S. Kalyanaraman, S. Ramakrishnan, "Overlay Bandwidth Services: Basic Framework and an Edge-to-Edge Closed-Loop Building Block," preprint, February 2001
[7]
D. Katabi, M. Handley, and C. Rohrs, "Internet Congestion Control for High Bandwidth-Delay Product Networks." Proc. ACM Sigcomm, Pittsburgh, PA, August 2002.
[8]
S. Floyd, T. Henderson and A. Gurtov, "RFC 3782: The NewReno Modification to TCP's Fast Recovery Algorithm", The Internet Society, 2004.
[9]
R. Jain, "A delay-based approach for Congestion avoidance in interconnected heterogeneous computer networks" ACM Computer Communication Review, vol. 19, no. 5, Pages: 56--71, Oct. 1990.
[10]
L. Brakmo, S. O'Malley and L. Peterson, "TCP Vegas: New Techniques for congestion detection and avoidance", Proceedings of ACM SIGCOMM, August 1994.
[11]
C. Jin, D. Wei and S. Low, "FAST TCP: Motivation, Architecture, Algorithms and Performance", Proceedings of IEEE Infocom, Hong Kong, March 2004.
[12]
M. allman, V. Paxson and W. stevens, "RFC 2581: TCP Congestion Control", Network Working Group, April 1999.

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  1. E-TCP: an evolutionary computation approach for congestion avoidance in bulk-data transfers networks

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    cover image ACM Other conferences
    ACMSE '08: Proceedings of the 46th annual ACM Southeast Conference
    March 2008
    548 pages
    ISBN:9781605581057
    DOI:10.1145/1593105
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 28 March 2008

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    Author Tags

    1. E-TCP
    2. TCP
    3. TCP NewReno
    4. bulk transfers
    5. congestion avoidance
    6. congestion control
    7. evolutionary computation

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    ACM SE08
    ACM SE08: ACM Southeast Regional Conference
    March 28 - 29, 2008
    Alabama, Auburn

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