TAILIEUCHUNG - Self – Similar Network Traffic and Performance Evaluation

Since the seminal study of Leland, Taqqu, Willinger, and Wilson [41], which set the groundwork for considering self-similarity an important notion in the understanding of network traffic including the modeling and analysis of network performance, an explosion of work has ensued investigating the multifaceted nature of this phenomenon. | Self - Similar Network Traffic and ịị V Performance Evaluation A Self-Similar Network Traffic and Performance Evaluation Edited by Kihong Park and Walter Wi 1 linger Copyright 2000 by John Wiley Sons Inc. Print ISBN 0-471-31974-0 Electronic ISBN 0-471-20644-X 1 SELF-SIMILAR NETWORK TRAFFIC AN OVERVIEW Kihong Park Network Systems Lab Department of Computer Sciences Purdue University West Lafayette LN 47907 Walter Willinger Information Sciences Research Center AT T Labs Research Florham Park NJ 07932 INTRODUCTION Background Since the seminal study of Leland Taqqu Willinger and Wilson 41 which set the groundwork for considering self-similarity an important notion in the understanding of network traffic including the modeling and analysis of network performance an explosion of work has ensued investigating the multifaceted nature of this phenomenon. 1 The long-held paradigm in the communication and performance communities has been that voice traffic and by extension data traffic are adequately described by certain Markovian models . Poisson which are amenable to accurate analysis and efficient control. The first property stems from the well-developed field of Markovian analysis which allows tight equilibrium bounds on performance variables such as the waiting time in various queueing systems to be found. This also forms a pillar of performance analysis from the queueing theoty side 38 . The For a nontechnical account of the discovery of the self-similar nature of network traffic including paral le 1 efforts and important follow-up work we refer the reader to Willinger 71 An extended list of references that includes works related to self-similar network traffic and performance modeling up to about 1995 can be found in the bibliographical guide 75 1 2 SELF-SIMILAR NETWORK TRAFFIC AN OVERVIEW second feature is in part due to the simple correlation structure generated by Markovian sources whose performance impact for example as affected by the likelihood of .

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