Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithm - SODA '06 2006
DOI: 10.1145/1109557.1109662
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Randomized online algorithms for minimum metric bipartite matching

Abstract: We present the rst poly-logarithmic competitive online algorithm for minimum metric bipartite matching. Via induction and a careful use of potential functions, we show that a simple randomized greedy algorithm is competitive on a hierarchically separated tree. Application of recent results on randomized embedding of metrics into trees yield the poly-logarithmic result for general metrics.

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Cited by 55 publications
(71 citation statements)
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“…It is easy to see that the randomized greedy algorithm is O(log k)-competitive for online matching in a star. [3,12] extend this analysis to show that randomized greedy is O(log k)-competitive in (log k)-Hierarchically Separated Trees (log k-HST's). [1,4] show that for every metric space, there exists a probability distribution over log k-HST's, for which the expected distance between any pair of points in a randomly drawn log k-HST is at most O(log 2 k) times the distance between this pair of points in the metric space.…”
Section: Previous Resultsmentioning
confidence: 93%
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“…It is easy to see that the randomized greedy algorithm is O(log k)-competitive for online matching in a star. [3,12] extend this analysis to show that randomized greedy is O(log k)-competitive in (log k)-Hierarchically Separated Trees (log k-HST's). [1,4] show that for every metric space, there exists a probability distribution over log k-HST's, for which the expected distance between any pair of points in a randomly drawn log k-HST is at most O(log 2 k) times the distance between this pair of points in the metric space.…”
Section: Previous Resultsmentioning
confidence: 93%
“…One can also see from the analyses in [8] that the greedy algorithm is 3-server O(1)-competitive for online transportation. [3,12] consider randomized algorithms for the online matching problem against an oblivious adversary that must specify the input a priori. In particular, [3,12] consider the simple randomized greedy algorithm that services each request with an unused server site picked uniformly at random from the closest server sites.…”
Section: Previous Resultsmentioning
confidence: 99%
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