Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55754
Title: Self-similarity (S2) : a novel real-time traffic filter to enhance e-commerce success
Authors: Lin, WWK
Wong, AKY
Dillon, TS
Wong, HL
Keywords: Dynamic buffer tuning
E-commerce
ERTPD
Internet traffic
S2 filter
Issue Date: 2006
Publisher: WSEAS Press
Source: WSEAS transactions on systems, 2006, v. 5 , no. 8, p. 1895-1900 How to cite?
Journal: WSEAS transactions on systems 
Abstract: The Internet follows the power laws and its traffic changes over time from on from another, for example, from long-range dependence (LRD) (e.g. self-similar pattern) to short-range dependence (SRD) (e.g. Poisson traffic). The self-similarity (S2) filter is proposed for identifying self-similar Internet traffic patterns in a real-time manner. It can augment the power of the extant real-time traffic pattern detector (RTPD), which lacks the capability to identify self-similar traffic. The new "RTPD + S2" combination is called the enhanced RTPD or ERTPD in the context of this paper. Since the longest ERPD execution time with S2 is merely 1455 clock cycles, it is highly suitable for many types of real-time applications. For example, it can be included as part of a dynamic buffer tuner so that the latter uses the current traffic pattern to fine-tune its control process. In this way S2 enhances the success of e-commerce setups because it shortens the client/server service roundtrip time (RTT). This is the result of more accurate dynamic buffer tuning.
URI: http://hdl.handle.net/10397/55754
ISSN: 1109-2777
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