Authors:
Wilfred W. K. Lin
1
;
Allan K. Y. Wong
1
;
Richard S.L. Wu
1
and
Tharam S. Dillon
2
Affiliations:
1
The Hong Kong Polytechnic University, Hong Kong
;
2
Faculty of Infornation Technology, University of Technology Sydney, Australia
Keyword(s):
real-time traffic pattern detection (RTPD), stationary, asymptotically second-order self-similarity, CAB, Gaussian property, fractal.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Software Technologies
;
Global Communication Information Systems and Services
;
Internet Services and Applications
;
Mobile Software and Services
;
Software Engineering
;
Telecommunication Software Systems, Tools and Languages
;
Telecommunications
;
Wireless Information Networks and Systems
Abstract:
The self-similarity ( S 2 ) filter is proposed for real-time applications. It can be used independently or as an extra component for the enhanced RTPD (real-time traffic pattern detector) or E-RTPD. The S 2 filter basisisthe“asymptoticallysecond-orderself-similarity”concept (alternatively called statistical 2nd OSS or S2nd OSS) for stationary time series. The focus is the IAT (inter-arrival times) traffic. The filter is original because similar approaches are not found in the literature for detecting self-similar traffic patterns on the fly. Different experiments confirm that with help form the S 2 filter the FLC (Fuzzy Logic Controller) dynamic buffer size tuner control more accurately. As a result the FLC improves the reliability of the client/server interaction path leading to shorter roundtrip time (RTT).