© 1978 by Institute of Mathematics and its Applications
Solving Large Sets of Differential Equations Describing Queueing Systems with the Aid of a Dynamic Allocation Algorithm
Department of Biometry, Medical University of South Carolina Charleston, South Carolina 29403, U.S.A.
U.S.D.A. Forest Service, Southeastern Forest Experiment Station, Forestry Sciences Laboratory Research Triangle Park, North Carolina 27709, U.S.A.
The number of differential equations associated with a queueing system is usually very large; it is not unusual for the number to be in the thousands. Thus, most queueing systems are studied under steady-state conditions or simulated discretely using such systems as GPSS and Simscript. This paper presents an algorithm that dynamically adjusts and keeps the number of differential equations to be solved at a minimum at every integration step. This makes the continuous simulation of queueing systems practical since the required computer memory and time is reduced.