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- W3137663351 abstract "Motivated by applications in cloud computing, we study the classical online caching problem for a cache of variable size, where the algorithm pays a maintenance cost that monotonically increases with cache size. This captures not only the classical setting of a fixed cache size, which corresponds to a maintenance cost of 0 for a cache of size at most k and ∞ otherwise, but also other natural settings in the context of cloud computing such as a concave rental cost on cache size. We call this the elastic caching problem.Our results are: (a) a randomized algorithm with a competitive ratio of O(log n) for maintenance cost that is an arbitrary function of cache size, (b) a deterministic algorithm with a competitive ratio of 2 for concave, or more generally submodular maintenance costs, (c) a deterministic n-competitive algorithm when the cost function is any monotone non-negative set function, and (d) a randomized constant-factor approximation algorithm for the offline version of the problem. Our algorithms are based on a configuration LP formulation of the problem, for which our main technical contribution is to maintain online a feasible fractional solution that can be converted to an integer solution using existing rounding techniques." @default.
- W3137663351 created "2021-03-29" @default.
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- W3137663351 date "2019-01-06" @default.
- W3137663351 modified "2023-09-24" @default.
- W3137663351 title "Elastic caching" @default.
- W3137663351 doi "https://doi.org/10.5555/3310435.3310445" @default.
- W3137663351 hasPublicationYear "2019" @default.
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