NDLI: A universal online caching algorithm based on pattern matching

Content Provider	IEEE Xplore Digital Library
Author	Pandurangan, G. Szpankowski, W.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN (Pandurangan, G.; Szpankowski, W.)
Abstract	We present a universal algorithm for the classical online problem of caching or demand paging. We consider the caching problem when the page request sequence is drawn from an unknown probability distribution and the goal is to devise an efficient algorithm whose performance is close to the optimal online algorithm which has full knowledge of the underlying distribution. Most previous works have devised such algorithms for specific classes of distributions with the assumption that the algorithm has full knowledge of the source. In this paper, we present a universal and simple algorithm based on pattern matching for mixing sources (includes Markov sources). The expected performance of our algorithm is within 4 + o(1) times the optimal online algorithm (which has full knowledge of the input model and can use unbounded resources)
Starting Page	1151
Ending Page	1155
File Size	142739
Page Count	5
File Format	PDF
ISBN	0780391519
DOI	10.1109/ISIT.2005.1523521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern matching Prefetching Probability distribution Computer science Polynomials Distributed computing Markov processes Information theory
Content Type	Text
Resource Type	Article

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