Internet Traffic: Periodicity, Tail Behavior and Performance Implications

        We present a study of the traffic patterns for a dynamic and heavily accesses Web server environment, and the impact of such traffic patterns on Web server performance. Using the data form the official Web site during the 1998 Winter Olympic Games in Nagano, Japan, we develop traffic models to represent the process of user requests that are the input to the geographically-distributed Web server systems. Our analysis of the traffic data illustrates traffic patterns that exhibit both light-tailed and heavy-tailed behaviors. We then feed these traffic processes into one of the Web sever systems modeled as a general single-server queue and analyze the waiting-time process, which models the latency encountered by user requests, a key measurement of quality of service (Qos)

By: Marks S. Squillante, Li Zhang, David D. Yao

Published in: RC21500 in 1999

LIMITED DISTRIBUTION NOTICE:

This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.

Rc21500.zip

Questions about this service can be mailed to reports@us.ibm.com .