Fuzzy logic strategy of prognosticating TCP's timeout and retransmission
Edited book (chapter)
Chapter Title | Fuzzy logic strategy of prognosticating TCP's timeout and retransmission |
---|---|
Book Chapter Category | Edited book (chapter) |
ERA Publisher ID | 3337 |
Book Title | Computational intelligence for modelling and prediction |
Authors | Zhang, Zhongwei (Author), Li, Zhi (Author) and Suthaharan, Shan (Author) |
Editors | Halgamuge, Saman K. and Wang, Lipo |
Series | Studies in Computational Intelligence |
Number of Pages | 12 |
Year | 2005 |
Publisher | Springer |
Place of Publication | Berlin |
ISBN | 3540260714 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/10966518_22 |
Web Address (URL) | http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/10966518_22 |
Abstract | The work presented in this paper is the design and implementation of an intelligent strategy using fuzzy logic technology to gauge the TCP timeout and retransmission value. The conventional algorithms, which are based on statistical analysis, perform in a marginally acceptable way for estimating these two values. But they have been shown to be increasingly incapable of dealing with more complicated TCP traffic due to ignorance of traffic complexity. Fuzzy logic technology will be applied to estimate the TCP timeout and retransmission for the purpose of utilising artificial intelligence, combining knowledge about the network traffic and connection. |
Keywords | TCP, timeout, retransmission, fuzzy logic. |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mathematics and Computing |
University of North Carolina, United States |
https://research.usq.edu.au/item/9x9x9/fuzzy-logic-strategy-of-prognosticating-tcp-s-timeout-and-retransmission
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