Maintaining mutual consistency for cached web objects

B. Urgaonkar, A. G. Ninan, M. S. Raunak, P. Shenoy, K. Ramamritham

Research output: Contribution to conferencePaper

30 Scopus citations

Abstract

Existing web proxy caches employ cache consistency mechanisms to ensure that locally cached data is consistent with that at the server. In this paper, we argue that techniques for maintaining consistency of individual objects are not sufficient-a proxy should employ additional mechanisms to ensure that related web objects are mutually consistent with one another. We formally define the notion of mutual consistency and the semantics provided by a mutual consistency mechanism to end-users. We then present techniques for maintaining mutual consistency in the temporal and value domains. A novel aspect of our techniques is that they can adapt to the variations in the rate of change of the source data, resulting in judicious use of proxy and network resources. We evaluate our approaches using real-world web traces and show that (i) careful tuning can result in substantial savings in the network overhead incurred without any substantial loss in fidelity of the consistency guarantees, and (ii) the incremental cost of providing mutual consistency guarantees over mechanisms to provide individual consistency guarantees is small.

Original languageEnglish (US)
Pages371-380
Number of pages10
Publication statusPublished - Jan 1 2001
Event21st IEEE International Conference on Distributed Computing Systems - Mesa, AZ, United States
Duration: Apr 16 2001Apr 19 2001

Other

Other21st IEEE International Conference on Distributed Computing Systems
CountryUnited States
CityMesa, AZ
Period4/16/014/19/01

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All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Urgaonkar, B., Ninan, A. G., Raunak, M. S., Shenoy, P., & Ramamritham, K. (2001). Maintaining mutual consistency for cached web objects. 371-380. Paper presented at 21st IEEE International Conference on Distributed Computing Systems, Mesa, AZ, United States.