A novel self-similarity (S2) traffic filter to enhance the success of e-business

  • Authors:
  • Wilfred W. K. Lin;Allan K. Y. Wong;Tharam S. Dillon;Wong Hok Leung

  • Affiliations:
  • Department of Computing, Hong Kong Polytechnic University, Hong Kong, SAR;Department of Computing, Hong Kong Polytechnic University, Hong Kong, SAR;Faculty of Information Technology, University of Technology, Sydney, Australia;Department of Computing, Hong Kong Polytechnic University, Hong Kong, SAR

  • Venue:
  • ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
  • Year:
  • 2006

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Abstract

The novel self-similarity (S2) filter is proposed to identify self-similar Internet traffic patterns on the fly. The previous real-time traffic pattern detector (RTPD) does not have this identification capability. The "RTPD +S2" combination is the enhanced RTPD or ERTPD. Since the longest ERPD execution time with is only 1455 clock cycles, it is still highly suitable for real-time applications. For example, it can be incorporated as part of a dynamic buffer tuner so that the latter can use the detected traffic pattern to fine-tune the control process. In this way S2 contributes to enhance the success of e-business by shortening the client/server service roundtrip time more effectively. This is achieved because it supports more accurate dynamic buffer tuning.