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Statistical transmission control based on confidence interval in high bandwidth network

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Published:22 March 2017Publication History

ABSTRACT

TCP performs slow start phase based on an exponential increase of the congestion window to predict the current network. Current TCP slow start does not work well under large bandwidth networks. The exponential growth of slow start phase cause burst packet loss if there are many traffic in the network. In this paper, we use a statistical slow start method to solve heavy packet loss from collision between flows in the network and to improve TCP performance.

References

  1. Wang, R. Pau, G. and Yamada, K. Sanadidi, M. Y. Gerla, M., 2004 "TCP startup performance in large bandwidth networks," INFOCOM 2004, vol.2, 796--805Google ScholarGoogle Scholar
  2. S. Ha and I. Rhee, "Taming the elephants: New TCP slow start, 2011" Computer Networks, vol.55, no.9, 2092--2110 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Larry L. Peterson and Bruce S. Davie, 2007 "Computer Networks - A Systems Approach", Fourth Edition. 479--563 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Wang, P. Dong, J. Chen, J. Huang, S. Zhang, and W. Wang, 2013 "Adaptive explicit congestion control based on bandwidth estimation for high bandwidth-delay product networks." Computer Communications, vol 36, no. 10-11, 1235--1244Google ScholarGoogle ScholarCross RefCross Ref
  5. T. Park, B. Kim, and J. Lee, 2005 "Delay-based Congestion Control for Networks with Large Bandwidth Delay Product", Information, Communications and Signal Processing 2005 Fifth International Conference on, Korea, 1245--1248Google ScholarGoogle Scholar
  6. Ningning Hu, Peter Steenkiste, 2003 "Improving TCP Startup Performance using Active Measurements: Algorithm and Evaluation," 11th IEEE International Conference on Network Protocols, 107-- Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Petrov, I. and Janevski, T., "Improved TCP Slow start algorithm, 2013" Telecommunications Forum (TELFOR), 2013 21st, 121--124, 26--28Google ScholarGoogle Scholar
  8. Yan Zhang; Ansari, N.; Mingquan Wu; Yu, H., 2012 "AFStart: An adaptive fast TCP slow start for wide area networks," Communications (ICC), 2012 IEEE International Conference on, 1260--1264, 10--15Google ScholarGoogle Scholar
  9. Petrov, I.; Janevski, T., 2013 "Improved TCP Slow start algorithm," Telecommunications Forum (TELFOR), 2013 21st, 121--124, 26--28Google ScholarGoogle Scholar
  10. Barayyan, T.O., 2013 "Alternative slow start algorithm for high bandwidth," Computer Applications Technology (ICCAT), 1--4, 20--22Google ScholarGoogle Scholar
  11. Kumazoe, K. Marcondes, C. and Gerla, M. Cavendish, D. Tsuru, M. Oie, Y., 2008 "Conservative Slow Start: Controlling Losses in Very High Speed Networks," ICC '08. IEEE International Conference on, 5798--5803, 19--23Google ScholarGoogle Scholar
  12. H. Seferoglu and E. Modiano, 2016 "TCP-Aware Backpressure Routing and Scheduling," in IEEE Transactions on Mobile Computing, vol. 15, no. 7, 1783--1796Google ScholarGoogle ScholarCross RefCross Ref
  13. NS-3 Simulator, http://www.nsnam.org/.Google ScholarGoogle Scholar
  1. Statistical transmission control based on confidence interval in high bandwidth network

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    • Published in

      cover image ACM Other conferences
      ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing
      March 2017
      1349 pages
      ISBN:9781450347747
      DOI:10.1145/3018896

      Copyright © 2017 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 March 2017

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      ICC '17 Paper Acceptance Rate213of590submissions,36%Overall Acceptance Rate213of590submissions,36%
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