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  Dr. Frankenstein’s Approach to On-line Algorithms (Extended abstract)

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by Yossi Azar, Andrei Z. Broder, Mark S. Manasse
http://www.std.org/~msm/common/choice.pdf
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Abstract:

Let {A1, A2,..., Am} be a set of on-line algorithms for a problem P with input set I. We assume that P can be represented as a metrical task system. Each Ai has a competitive ratio ai with respect to the optimum off-line algorithm, but only for a subset of the possible inputs such that the union of these subsets covers I. Given this setup, we construct a generic deterministic on-line algorithm and a generic randomized on-line algorithm for P that are competitive over all possible inputs. We show that their competitive ratios are optimal up to constant factors. Our analysis proceeds via an amusing card game.

Citations

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