Explaining World Wide Web Traffic Self-Similarity

نویسندگان

  • Mark E. Crovella
  • Azer Bestavros
چکیده

Recently the notion of self-similarity has been shown to apply to wide-area and local-area network traffic. In this paper we examine the mechanisms that give rise to self-similar network traffic. We present an explanation for traffic self-similarity by using a particular subset of wide area traffic: traffic due to the World Wide Web (WWW). Using an extensive set of traces of actual user executions of NCSA Mosaic, reflecting over half a million requests for WWW documents, we show evidence that WWW traffic is selfsimilar. Then we show that the self-similarity in such traffic can be explained based on the underlying distributions of WWW document sizes, the effects of caching and user preference in file transfer, the effect of user “think time”, and the superimposition of many such transfers in a local area network. To do this we rely on empirically measured distributions both from our traces and from data independently collected at over thirty WWW sites.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Effect of CSMA/CD on Self-Similarity of Network Traffic

It is now well known that Internet traffic exhibits self-similarity, which cannot be described by traditional Markovian models such as the Poisson process. The causes of self-similarity of network traffic must be identified because understanding the nature of network traffic is critical in order to properly design and implement computer networks and network services like the World Wide Web. Whi...

متن کامل

Fitting world-wide web request traces with the EM-algorithm

In recent years, various researchers have shown that network traffic that is due to world-wide web transfers shows characteristics of self-similarity and it has been argued that this can be explained by the heavy-tailedness of many of the involved distributions. Considering these facts, developing methods that are able to handle self-similarity and heavy-tailedness is of great importance for ne...

متن کامل

Characterization of Internet Traffic S-38.149 Postgraduate Course in Teletraffic Theory

The aim of this paper is to give an overview of traffic seen in Internet and what kind of models can be used to describe it. The traffic in Internet is an aggregate of traffic from many local area networks (LAN). Measurement results strongly suggest that the traffic is self-similar with huge variation of timescales, from order of milliseconds to even days. This report is based mostly on ten art...

متن کامل

Characteristics Analysis of Web Traffic with Hurst Index

Today’s computer networks are highly dynamic to change especially Internet. Simulating Internet behavior is therefore a difficult and cumbersome task. The web remains the largest application class on wide-area links. Generation of natural web traffic behavior is an essential component for simulation models. Failure of Poisson and Markov models has led to development of new models. In the past d...

متن کامل

Characterization of E-Commerce Traffic

The world wide web has acheived immense popularity in the business world. It is thus essential to characterize the traffic behavior at these sites, a study that will facilitate the design and development of high-performance, reliable ecommerce servers. This paper makes an effort in this direction. Aggregated traffic arriving at a Business-to-Business (B2B) and a Business-to-Consumer (B2C) e-com...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1995