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On the Improvement From Scheduling a Two-Station Queueing Network in Heavy Traffic

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dc.creator Ou, Jihong
dc.creator Wein, Lawrence M.
dc.date 2004-05-28T19:23:24Z
dc.date 2004-05-28T19:23:24Z
dc.date 1990-01
dc.date.accessioned 2013-10-09T02:37:47Z
dc.date.available 2013-10-09T02:37:47Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5107
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description For a two-station multiclass queueing network in heavy traffic, we assess the improvement from scheduling (job release and priority sequencing) that can occur relative to Poisson input and first-come first-served (FCFS) sequencing. In particular, simple upper bounds are derived on the optimal objective function value (found in Wein 1989a) of a Brownian control problem that approximates (via Harrison's 1988 model) a two-station queueing network scheduling problem in heavy traffic. When the system is perfectly balanced, the Brownian analysis predicts that optimal scheduling will reduce the long run expected average number of customers in the network by at least a factor of four relative to the Poisson input, FCFS sequencing policy that achieves the same throughput rate. When the system is not perfectly balanced, the corresponding factor is slightly smaller than two.
dc.format 751824 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 208-90
dc.title On the Improvement From Scheduling a Two-Station Queueing Network in Heavy Traffic
dc.type Working Paper


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