A novel self-similar (S2) traffic filter to enhance E-business success by improving internet communication channel fault tolerance

Authors:
Allan K. Y. Wong;Wilfred W. K. Lin;Tharam S. Dillon;Jackei H. K. Wong
Affiliations:
Department of Computing, Hong Kong Polytechnic University, Hong Kong S.A.R.;Faculty of Information Technology, University of Technology Sydney, Australia;Faculty of Information Technology, University of Technology Sydney, Australia;Department of Computing, Hong Kong Polytechnic University, Hong Kong S.A.R.
Venue:
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Year:
2007

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Abstract

Internet traffic patterns can cause serious buffer overflow in electronic business (e-business) systems. This leads to widespread retransmission that prolongs the service roundtrip time (RTT). As a result customers are unhappy and avoid returning to do more business. The previous Real-Time Traffic Pattern Detector (RTPD) was proposed to improve Internet channel fault tolerance. With RTPD support time-critical applications can identify the traffic patterns and invoke the corresponding measures to neutralize their ill effects in a dynamic manner. The extant RTPD, however, cannot detect self-similar traffic. This inspired the development of the novel self-similarity (S2) filter proposed in this paper, which makes the RTPD capability more complete. The "RTPD + S2 " package is the enhanced RTPD or ERTPD package. The test results indicate that the addition of the S2 mechanism can indeed contribute to improved e-business communication channels over the Internet.