Abstract
Hoarding is a technique in which a portable computer caches files before disconnecting from a network, so that the files will be available during the disconnection period. Predictive hoarding extends this approach to automatically predict the set of files that should be hoarded. We report the results of a study of the SEER predictive hoarding system, which examined both live and simulated usage. This is by far the most detailed study of hoarding that has been carried out to date. Our results show not only that predictive hoarding is feasible, but that SEER has excellent performance that significantly improves disk-space usage on mobile computers.
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Authors and Affiliations
Computer Science Department, University of California, 90024-1596, USA
Geoffrey H. Kuenning, Peter Reiher & Gerald J. Popek
Platinum Technology, 90024-1596, Los Angeles, CA, USA
Gerald J. Popek
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Correspondence toGeoffrey H. Kuenning.
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Kuenning, G.H., Reiher, P. & Popek, G.J. Experience with an automated hoarding system.Personal Technologies1, 145–155 (1997). https://doi.org/10.1007/BF01299649
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