Dynamic routing of customers with general delay costs in a multiserver queuing system
Argon, N.T.; Ding, L.; Glazebrook, K.D.; Ziya, S.
Dr Li Ding firstname.lastname@example.org
We consider a network of parallel service stations each modeled as a single-server queue. Each station serves its own dedicated customers as well as generic customers who are routed from a central controller. We suppose that the cost incurred by a customer is an increasing function of her time spent in the system. In a significant advance on most previous work, we do not require waiting costs to be convex, still less linear. With the objective of minimizing the long-run average waiting cost, we develop two heuristic routing policies, one of which is based on dynamic programming policy improvement and the other on Lagrangian relaxation. In developing the latter policy, we show that each station is “indexable” under mild conditions for customers’ waiting costs and also prove some structural results on the admission control problem that naturally arises as a result of the Lagrangian relaxation. We then test the performance of our heuristics in an extensive numerical study and show that the Lagrangian heuristic demonstrates a strong level of performance in a range of traffic conditions. In particular, it clearly outperforms both a greedy heuristic, which is a standard proposal in complex routing problems, and a recent proposal from the heavy traffic literature.
Argon, N., Ding, L., Glazebrook, K., & Ziya, S. (2009). Dynamic routing of customers with general delay costs in a multiserver queuing system. Probability in the Engineering and Informational Sciences, 23(2), 175-203. https://doi.org/10.1017/s0269964809000138
|Journal Article Type||Article|
|Publication Date||Apr 1, 2009|
|Deposit Date||May 22, 2009|
|Publicly Available Date||Apr 19, 2010|
|Journal||Probability in the Engineering and Informational Sciences|
|Publisher||Cambridge University Press|
|Peer Reviewed||Peer Reviewed|
Published Journal Article
This paper has been published in "Probability in the engineering and informational sciences" (23: 2 (2009) 175-203) http://journals.cambridge.org/action/displayJournal?jid=PES © 2009 Cambridge University Press.
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