Mathematics of Operations Research
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MATHEMATICS OF OPERATIONS RESEARCH
Vol. 33, No. 4, November 2008, pp. 899-909
DOI: 10.1287/moor.1080.0325
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Efficient Routing in Heavy Traffic Under Partial Sampling of Service Times

Rami Atar, Adam Shwartz

Technion–Israel Institute of Technology, Haifa 32000, Israel
Technion–Israel Institute of Technology, Haifa 32000, Israel

atar{at}ee.technion.ac.il
adam{at}ee.technion.ac.il

We consider a queue with renewal arrivals and n exponential servers in the Halfin-Whitt heavy traffic regime, where n and the arrival rate increase without bound, so that a critical loading condition holds. Server k serves at rate µk, and the empirical distribution of {µk}k = 1,...,n is assumed to converge weakly. We show that very little information on the service rates is required for a routing mechanism to perform well. More precisely, we construct a routing mechanism that has access to a single sample from the service time distribution of each of n1/2 + {varepsilon} randomly selected servers ({varepsilon} > 0), but not to the actual values of the service rates, the performance of which is asymptotically as good as the best among mechanisms that have the complete information {µk}k = 1,...,n.

Key Words: Halfin-Whitt regime; routing policies; service time sampling
History: Received: October 19, 2007; revision received: March 12, 2008;





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