Dynamic Scheduling of a Multiclass Fluid Network
Hong Chen and
David D. Yao
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Hong Chen: University of British Columbia, Vancouver, Canada and New Jersey Institute of Technology, Newark, New Jersey
David D. Yao: Columbia University, New York, New York
Operations Research, 1993, vol. 41, issue 6, 1104-1115
Abstract:
A fluid network is a deterministic network model in which dynamic continuous flows are circulated and processed among a set of stations. A fluid network often describes the asymptotic behavior of a stochastic queueing network via functional strong law of large numbers. We study the dynamic scheduling of multiple classes of fluid traffic in such a network. An algorithm is developed that systematically solves the dynamic scheduling problem by solving a sequence of linear programs. It generates a policy, in the form of dynamic capacity allocation at each station (among all fluid classes), that consists of a finite set of linear “pieces” over the entire time horizon. In a single-station, or equivalently, single-server, network, this solution procedure recovers the priority index set that is optimal for the corresponding discrete queueing model, generally known as Klimov's problem.
Keywords: production/scheduling: dynamic control; resource allocation; programming: linear; parametric; queues: fluid network; multiclass (search for similar items in EconPapers)
Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:41:y:1993:i:6:p:1104-1115
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