Stochastic spectral density analysis on network traffic characterization

Authors:
Abhik Das;S. K. Ghosh
Affiliations:
School of Information Technology, Indian Institute of Technology, Kharagpur, India;School of Information Technology, Indian Institute of Technology, Kharagpur, India
Venue:
ICDCN'06 Proceedings of the 8th international conference on Distributed Computing and Networking
Year:
2006

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Abstract

In the network traffic, the nature of the input output data/signal signals are used to demonstrate the statistical characterization of the traffic performance. Observations of traffic on network links typically reveal intensity levels (in bits/sec) averaged over periods of time periods which are relatively predictable from day to day. Systematic intensity variations occur within the day reflecting user activity. In this paper, the stochastic spectral analysis is performed on the input/output signal signals and the ratio of the spectral power of the output and input signals are taken as the characteristics of the statistical nature of the network traffic. For different time averaging schemes this characteristic ratio shows a bounded nature. In this paper the theoretical analysis is done on the boundedness of the characteristics ratio through the process of stochastic spectral density analysis.