Abstract
We consider the problem of caching multimedia streams in the internet. We use the dynamic caching framework of Dan et al. and Hofmann et al.. We define a novel performance metric based on the maximum number of simultaneous cache misses, and present near-optimal on-line algorithms for determining which parts of the streams should be cached at any point in time for the case of a single server and single cache. We extend this model to case of a single cache with different per-client connection costs, and give an 8-competitive algorithm in this setting. Finally, we propose a model for multiple caches in a network and present an algorithm that is O(K)-competitive if we increase the cache sizes by O(K). Here K is the number of caches in the network.
{emandrews@research.bell-labs.com.}
{emkamesh@cs.stanford.edu.}Supported by ONR N00014-98-1-0589. Part of this work was done while the author was visiting Bell Labs.
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Andrews, M., Munagala, K. (2000). Online Algorithms for Caching Multimedia Streams. In: Paterson, M.S. (eds) Algorithms - ESA 2000. ESA 2000. Lecture Notes in Computer Science, vol 1879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45253-2_7
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DOI: https://doi.org/10.1007/3-540-45253-2_7
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