Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates

Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates
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具有异构到达率和出发率的动态加权匹配

DOI:
10.1007/978-3-030-64946-3_2
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发表时间:
2020
期刊:
International Conference on Web and Internet Economics
影响因子:
--
通讯作者:
Newman, Neil
Newman, Neil
中科院分区:
--
文献类型:
--
作者:
Collina, Natalie;Immorlica, Nicole;Leyton-Brown, Kevin;Lucier, Brendan;Newman, Neil

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研究了一个动态的非二部匹配问题。存在一组固定的代理类型,给定类型的代理根据特定类型的泊松过程到达和离开。匹配的值由匹配的代理的类型决定。我们提出了一种在线算法,对于任意加权图,它与事后最优策略的值(1/8)竞争。这是第一个在到达和离开都是随机和未经宣布的情况下实现恒定竞争比率的结果。我们的算法对代理进行异构处理,在即时匹配和延迟匹配之间进行插值,以使市场变厚,同时仍能机会地匹配有价值的代理。
We study a dynamic non-bipartite matching problem. There is a fixed set of agent types, and agents of a given type arrive and depart according to type-specific Poisson processes. The value of a match is determined by the types of the matched agents. We present an online algorithm that is (1/8)-competitive with respect to the value of the optimal-in-hindsight policy, for arbitrary weighted graphs. This is the first result to achieve a constant competitive ratio when both arrivals and departures are random and unannounced. Our algorithm treats agents heterogeneously, interpolating between immediate and delayed matching in order to thicken the market while still matching valuable agents opportunistically.
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