(Enter summary)
Abstract: We are constructing caching policies that have 13-20% lower miss rates
than the best of twelve baseline policies over a large variety of request
streams. This represents an improvement of 49--63% over Least Recently
Used, the most commonly implemented policy. We achieve this not by
designing a specific new policy but by using on-line Machine Learning
algorithms to dynamically shift between the standard policies based on
their observed miss rates. A thorough experimental evaluation of our
... (Update)
Context of citations to this paper: More
...many combinations of the disjoint lists implicitly, by only maintaining polynomially many weights. We introduce the concept of rollover [6] in order to better track a dynamically changing cache. We compare our results to both ARC and LRU (the de facto standard policy which...
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BibTeX entry: (Update)
R. B. Gramacy, M. K. Warmuth, S. A. Brandt, and I. Ari, "Adaptive caching by refetching," in NIPS, 2002. http://citeseer.ist.psu.edu/gramacy02adaptive.html More
@misc{ gramacy02adaptive,
author = "R. Gramacy and M. Warmuth and S. Brandt and I. Ari",
title = "Adaptive caching by refetching",
text = "R. B. Gramacy, M. K. Warmuth, S. A. Brandt, and I. Ari, Adaptive caching
by refetching, in NIPS, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/gramacy02adaptive.html" }
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