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Theory of Computing Systems

Erschienen in:

07.09.2019

An Optimally-Competitive Algorithm for Maximum Online Perfect Bipartite Matching with i.i.d. Arrivals

verfasst von: Minjun Chang, Dorit S. Hochbaum, Quico Spaen, Mark Velednitsky

Erschienen in: Theory of Computing Systems | Ausgabe 4/2020

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Abstract

We present an optimally-competitive algorithm for the problem of maximum online perfect bipartite matching with i.i.d. arrivals. In this problem, we are given a known set of workers, a distribution over job types, and non-negative utility weights for each pair of worker and job types. At each time step, a job is drawn i.i.d. from the distribution over job types. Upon arrival, the job must be irrevocably assigned to a worker and cannot be dropped. The goal is to maximize the expected sum of utilities after all jobs are assigned. We introduce Dispatch, a 0.5-competitive, randomized algorithm. We also prove that 0.5-competitive is the best possible. When a job arrives, Dispatch first selects a “preferred worker” and assigns the job to this worker if it is available. The preferred worker is determined based on an optimal solution to a fractional transportation problem. If the preferred worker is not available, Dispatch randomly selects a worker from the available workers.

Vorheriger Artikel Approximating Node-Weighted k-MST on Planar Graphs

Nächster Artikel Longest Increasing Subsequence under Persistent Comparison Errors

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Titel: An Optimally-Competitive Algorithm for Maximum Online Perfect Bipartite Matching with i.i.d. Arrivals
verfasst von: Minjun Chang
Dorit S. Hochbaum
Quico Spaen
Mark Velednitsky
Publikationsdatum: 07.09.2019
Verlag: Springer US
Erschienen in: Theory of Computing Systems / Ausgabe 4/2020
Print ISSN: 1432-4350
Elektronische ISSN: 1433-0490
DOI: https://doi.org/10.1007/s00224-019-09947-7

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