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New Results on Web Caching with Request Reordering Susanne Albers
 

Summary: New Results on Web Caching with Request Reordering
Susanne Albers£
Abstract
We study web caching with request reordering. The goal is to maintain a cache of web documents so
that a sequence of requests can be served at low cost. To improve cache hit rates, a limited reordering of
requests is allowed. Feder et al. [6], who recently introduced this problem, considered caches of size 1,
i.e. a cache can store one document. They presented an offline algorithm based on dynamic programming
as well as online algorithms that achieve constant factor competitive ratios. For arbitrary cache sizes,
Feder et al. [7] gave online strategies that have nearly optimal competitive ratios in several cost models.
In this paper we first present a deterministic online algorithm that achieves an optimal competitive-
ness, for the most general cost model and all cache sizes. We then investigate the offline problem, which
is NP-hard in general. We develop the first polynomial time algorithms that can manage arbitrary cache
sizes. Our strategies achieve small constant factor approximation ratios. The algorithms are based on a
general technique that reduces web caching with request reordering to a problem of computing batched
service schedules.
Our approximation result for the Fault Model also improves upon the best previous approximation
guarantee known for web caching without request reordering.
£Institut f¨ur Informatik, Albert-Ludwigs-Universit¨at Freiburg, Georges-K¨ohler-Allee 79, 79110 Freiburg, Germany.
salbers@informatik.uni-freiburg.de Work supported by the Deutsche Forschungsgemeinschaft, projects AL 464/4-
1, and by the EU, projects APPOL and APPOL II.

  

Source: Albers, Susanne - Institut für Informatik, Humboldt-Universität zu Berlin

 

Collections: Computer Technologies and Information Sciences