Affiliation:
1. Princeton Univ., Princeton, NJ
Abstract
Currently, a variety of information retrieval systems are available to potential users.… While in many cases these systems are accessed from personal computers, typically no advantage is taken of the computing resources of those machines (such as local processing and storage). In this paper we explore the possibility of using the user's local storage capabilities to cache data at the user's site. This would improve the response time of user queries albeit at the cost of incurring the overhead required in maintaining multiple copies. In order to reduce this overhead it may be appropriate to allow copies to diverge in a controlled fashion.… Thus, we introduce the notion of
quasi-copies
, which embodies the ideas sketched above. We also define the types of deviations that seem useful, and discuss the available implementation strategies.—From the Authors' Abstract
Publisher
Association for Computing Machinery (ACM)
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