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”...
World Wide Web (WWW) traffic will dominate network traffic for the foreseeable future. Accurate pred...
Recent measurements of network traffic have shown that self-similarity is a ubiquitous phe-nomenon p...
The optimal computer network performance models require accurate traffic models, which can capture t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recent measurements of local-area and wide-area traffic have shown that network traffic exhibits va...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
Recent measurements of local-area and wide-area traffic have shown that network traffic exhibits var...
World Wide Web (WWW) traffic will dominate network traffic for the foreseeable future. Accurate pred...
Recent measurements of network traffic have shown that self-similarity is a ubiquitous phe-nomenon p...
The optimal computer network performance models require accurate traffic models, which can capture t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network t...
Recent measurements of local-area and wide-area traffic have shown that network traffic exhibits va...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
In this paper, we investigate time-correlation of the connection request process of Web browsing app...
Self-similarity is a major assumption used in the modelling and characterization of Internet traffic...
Recent measurements of local-area and wide-area traffic have shown that network traffic exhibits var...
World Wide Web (WWW) traffic will dominate network traffic for the foreseeable future. Accurate pred...
Recent measurements of network traffic have shown that self-similarity is a ubiquitous phe-nomenon p...
The optimal computer network performance models require accurate traffic models, which can capture t...