Data caching issues in an information retrieval system

  • Authors:
  • Rafael Alonso;Daniel Barbara;Hector Garcia-Molina

  • Affiliations:
  • Princeton Univ., Princeton, NJ;Princeton Univ., Princeton, NJ;Princeton Univ., Princeton, NJ

  • Venue:
  • ACM Transactions on Database Systems (TODS)
  • Year:
  • 1990

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Abstract

Currently, a variety of information retrieval systems are availableto potential users.… While in many cases these systems areaccessed from personal computers, typically no advantage is taken of thecomputing resources of those machines (such as local processing andstorage). In this paper we explore the possibility of using the user'slocal storage capabilities to cache data at the user's site. This wouldimprove the response time of user queries albeit at the cost ofincurring the overhead required in maintaining multiple copies. In orderto reduce this overhead it may be appropriate to allow copies to divergein a controlled fashion.… Thus, we introduce the notion ofquasi-copies, which embodies theideas sketched above. We also define the types of deviations that seemuseful, and discuss the available implementation strategies.—From the Authors' Abstract