2016/03/04 by Ivo Adan, Adan, Ivo, Marko Boon +3
Business, Management and Accounting · Computer Science · #60J10 #Advanced Queuing Theory Analysis #Cloud Computing and Resource Management #Distributed systems and fault tolerance #FOS: Computer and information sciences #FOS: Mathematics #Performance (cs.PF) #Probability (math.PR)
paper · pdf · doi:10.48550/arxiv.1603.01404
openalex publication_date 2016/03/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
We study a parallel queueing system with multiple types of servers and customers. A bipartite graph describes which pairs of customer-server types are compatible. We consider the service policy that always assigns servers to the first, longest waiting compatible customer, and that always assigns customers to the longest idle compatible server if on arrival, multiple compatible servers are available. For a general renewal stream of arriving customers and general service time distributions, the behavior of such systems is very complicated. In particular, the calculation of matching rates, the fraction of services of customer-server type, is intractable. We suggest through a heuristic argument that if the number of servers becomes large, the matching rates are well approximated by matching rates calculated from the tractable bipartite infinite matching model. We present simulation evidence to support this heuristic argument, and show how this can be used to design systems with desired performance requirements.