Abstract | ||
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In many-server systems with heterogeneous servers, the Fastest-Server-First (FSF) policy is known for its excellent performance. However, when service rates are unknown and/or time-varying, implementing FSF routing is not straightforward. We analyze an algorithm that approximates FSF routing: servers are ranked in a dynamic list, where the shorter the actual service times that a server exhibits-the closer the server is to the head of the list; a customer is then routed to the lowest-index (highest-in-the-list) idle server. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1016/j.orl.2014.07.003 | Operations Research Letters |
Keywords | Field | DocType |
multi-server queue,routing,transposition rule | Server farm,Dynamic Source Routing,Ranking,Idle,Computer science,Policy-based routing,Static routing,Server,Computer network,Distributed computing | Journal |
Volume | Issue | Citations |
42 | 6 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Avishai Mandelbaum | 1 | 1061 | 85.79 |
Petar Momcilovic | 2 | 93 | 12.28 |