Abstract
We consider a system of N parallel queues with identical exponential service rates and a single dispatcher where tasks arrive as a Poisson process. When a task arrives, the dispatcher always assigns it to an idle server, if there is any, and to a server with the shortest queue among d randomly selected servers otherwise (1≤d≤N). This load balancing scheme subsumes the so-called join-the-idle queue policy (d=1) and the celebrated join-the-shortest queue policy (d=N) as two crucial special cases. We develop a stochastic coupling construction to obtain the diffusion limit of the queue process in the Halfin-Whitt heavy-traffic regime, and establish that it does not depend on the value of d, implying that assigning tasks to idle servers is sufficient for diffusion level optimality.
| Original language | English |
|---|---|
| Pages (from-to) | 1111-1124 |
| Number of pages | 14 |
| Journal | Journal of Applied Probability |
| Volume | 53 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2016 |
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