Quantitative modeling for web objects’ cacheability

  • Authors:
  • Chen Ding;Chi-Hung Chi;Lin Liu;LuWei Zhang;H. G. Wang

  • Affiliations:
  • School of Computer Science, Ryerson University, Canada;School of Software, Tsinghua University, Beijing, China;School of Software, Tsinghua University, Beijing, China;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore

  • Venue:
  • WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
  • Year:
  • 2005

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Abstract

In this paper, we propose a mathematical model, called the E-Cacheability Index, to quantify and compare the effectiveness of caching web objects on Internet. Unlike previous related work on web object cacheability, our study is based on a comprehensive study of all object attributes related to the HTTP protocol transfer, content reuse, freshness re-validation as well as the inter-relationship/dependency among these attributes in the final caching decision. This model is important because it not only estimates the cacheability effectiveness of web content, but also provides hints on web caching optimization.