FCFS Parallel Service Systems and Matching Models
Ivo Adan, Igor Kleiner, Rhonda Righter, Gideon Weiss

TL;DR
This paper explores three FCFS parallel service models with bipartite compatibility, analyzing their relations and connections to infinite bipartite matching, and introduces a directed matching model to generalize Burke's theorem.
Contribution
It establishes relationships between different FCFS parallel service models and the bipartite matching framework, and introduces a directed bipartite matching model to extend Burke's theorem.
Findings
Models are closely related to FCFS bipartite matching.
The directed matching model generalizes Burke's theorem.
Connections to real-world systems like organ transplants and housing.
Abstract
We consider three parallel service models in which customers of several types are served by several types of servers subject to a bipartite compatibility graph, and the service policy is first come first served. Two of the models have a fixed set of servers. The first is a queueing model in which arriving customers are assigned to the longest idling compatible server if available, or else queue up in a single queue, and servers that become available pick the longest waiting compatible customer, as studied by Adan and Weiss, 2014. The second is a redundancy service model where arriving customers split into copies that queue up at all the compatible servers, and are served in each queue on FCFS basis, and leave the system when the first copy completes service, as studied by Gardner et al., 2016. The third model is a matching queueing model with a random stream of arriving servers.…
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