Self-similar network traffic and performance evaluation pdf file

Selfsimilar network traffic and performance evaluation. Pdf modeling and simulation of selfsimilar traffic in wireless ip. Preface the recent discovery of scaling phenomena in modern communication networks involving selfsimilarity or fractals and powerlaw or heavytailed distributions is yet another realization of benoit mandelbrots vision of order in physical, social, and. Parameter estimations in a model imitating a network. Abry and others published self similar network traffic analysis and performance evaluation find, read and cite all the research you need on researchgate. The paper examines selfsimilar or fractal properties of real communication network traffic data over a wide range of time scales. A survey of performance evaluation and control for self. Pdf on the use of selfsimilar processes in network simulation. Because of this, the rise of selfsimilar processes for network traf. A collection of work from top researchers in the field, this book covers all aspects of selfsimilar network traffic. Self similar network traffic analysis and performance. Preface the recent discovery of scaling phenomena in modern communication networks involving selfsimilarity or fractals and powerlaw or.

The impact of selfsimilar models on queuing performance is significant and the. Performance improvements on selfsimilar traffic using. Request pdf self similar network traffic analysis and performance evaluation the presence of scaling behavior in telecommunications traffic is striking not only in its ubiquity, appearing in. Although the existence of selfsimilarity in network traffic has been widely recognized, there is considerable debate on the impact of selfsimilarity on traffic engineering and network performance. Local area networks and selfsimilar traffic springerlink. One of the most important methods of modelling self similar traffic is pseudo selfsimilar processes. A survey of performance evaluation and control for selfsimilar network traffic abstract this paper surveys techniques for the recognition and treatment of selfsimilar network or internetwork traffic. Still in its infancy, is the problem of controlling self. The paper provides a survey of network traffic models. Summary since the seminal study of leland, taqqu, willinger, and wilson, which set the groundwork for considering self. Advanced models and algorithms for selfsimilar ip network. New york chichester weinheim brisbane singapore toronto.

Advanced models and algorithms for selfsimilar ip network traffic simulation and performance analysis. Self similar network traffic analysis and performance evaluation. Selfsimilar network traffic and performance evaluation, wiley, 2000, chapter 20, pp. Recent network traffic studies argue that network arrival processes are much more faithfully modeled using statistically selfsimilar processes instead of. Similar network traffic and performance evaluation wiley.