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Caching Documents with Variable Sizes and Fetching Costs: An LP-Based Approach
Authors:Cohen and Kaplan
Affiliation:(1) AT\&T Labs — Research, 180 Park Avenue, Florham Park, NJ 07932, USA. edith@research.att.com., US;(2) Tel-Aviv University, Tel-Aviv 69978, Israel. haimk@math.tau.ac.il., IL
Abstract:Abstract. We give an integer programming formulation of the paging problem with varying sizes and fetching costs. We use this formulation to provide an alternative proof that a variant of the algorithm greedy-dual-size previously considered in [4] and [5] is (k+1)/(k-h+1) competitive against the optimal strategy with cache size h≤ k . Our proof provides further insights to greedy-dual-size. We also indicate how the same integer programming formulation has been recently used [1], [2] to obtain approximation algorithms to the NP-complete ``offline' problem.
Keywords:. Caching   Linear programming.
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