Skip to main content
Article thumbnail
Location of Repository

Linking cache performance to user behaviour.

By Ian W. Marshall and Chris Roadknight

Abstract

The performance of HTTP cache servers varies dramatically from server to server. Much of the variation is independent of cache size and network topology and thus appears to be related to differences in the user communities. Analysis of a range of user traces shows that, just like caches, individual users have highly variable hit rates, Zipf locality curves and show strong signs of long range dependency. In order to predict cache performance we propose a simple model which treats a cache as an aggregation of single users, and each user as a small cache

Year: 1998
OAI identifier: oai:eprints.lancs.ac.uk:27239
Provided by: Lancaster E-Prints

Suggested articles

Citations

  1. (1995). Caching Proxies: Limitations and Potentials.
  2. Characteristic times for long range dependency in WWW page requests –
  3. (1995). Characteristics of WWW client-based traces.
  4. (1997). Enhancing the web’s infrastructure: From caching to replication.
  5. (1949). Human Behavior and the Principle of Least Effort. doi
  6. (1997). Internet web servers: Workload Characterization and performance implications.
  7. (1996). Places, and Things: The Next Generation Web. COMPCON
  8. Statistical methods for data with long-range dependance.
  9. (1997). The measured access characteristics of WWW proxy caches.
  10. (1998). Variations in cache behavior.
  11. Voice teletraffic systems engineering.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.