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arXiv 1003.3477cs.DMmath.PR
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二部匹配模型的稳定性

Stability of the bipartite matching model

Ana Bušić, Varun Gupta, Jean Mairesse

摘要:

我们考虑由Caldentey、Kaplan和Weiss(Adv. Appl. Probab.,2009年)。客户和服务器扮演着对称的角色。有一个有限的集合C resp。S,客户,服务器,类。时间是离散的,在每个时间步,一个客户和一个服务器根据CxS上的联合概率度量到达系统,与过去无关。此外,在每个时间步,配对的客户和服务器,如果它们存在,离开系统。授权匹配由一个固定的二部图给出。选择匹配策略,该匹配策略决定当存在多个可能性时如何匹配。无法匹配的客户/服务器存储在缓冲区中。模型的演化过程可用离散时间马尔可夫链描述。我们研究了它在各种可接受的匹配策略下的稳定性,包括:ML(匹配最长的),MS(匹配最短的),FIFO(匹配最老的),优先级。存在自然的必要条件的稳定性(独立的匹配策略)定义的最大可能的稳定区域。对于某些二部图,我们证明了对于任何允许的匹配策略,稳定区域确实是最大的。对于ML策略,我们证明了任何二分图的稳定区域都是最大的。对于MS和优先级策略,我们展示了一个二分图的非最大稳定区域。

英文摘要:

We consider the bipartite matching model of customers and servers introduced by Caldentey, Kaplan, and Weiss (Adv. Appl. Probab., 2009). Customers and servers play symmetrical roles. There is a finite set C resp. S, of customer, resp. server, classes. Time is discrete and at each time step, one customer and one server arrive in the system according to a joint probability measure on CxS, independently of the past. Also, at each time step, pairs of matched customer and server, if they exist, depart from the system. Authorized matchings are given by a fixed bipartite graph. A matching policy is chosen, which decides how to match when there are several possibilities. Customers/servers that cannot be matched are stored in a buffer. The evolution of the model can be described by a discrete time Markov chain. We study its stability under various admissible matching policies including: ML (Match the Longest), MS (Match the Shortest), FIFO (match the oldest), priorities. There exist natural necessary conditions for stability (independent of the matching policy) defining the maximal possible stability region. For some bipartite graphs, we prove that the stability region is indeed maximal for any admissible matching policy. For the ML policy, we prove that the stability region is maximal for any bipartite graph. For the MS and priority policies, we exhibit a bipartite graph with a non-maximal stability region.

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