Stability and instability of fluid models for reentrant lines
Mathematics of Operations Research
Stability of multiclass queueing networks under FIFO service discipline
Mathematics of Operations Research
A multiclass network with non-linear, non-convex, non-monotonic stability conditions
Queueing Systems: Theory and Applications
Piecewise linear test functions for stability and instability of queueing networks
Queueing Systems: Theory and Applications
Stability of two families of queueing networks and a discussion of fluid limits
Queueing Systems: Theory and Applications
Stability of Multiclass Queueing Networks Under Priority Service Disciplines
Operations Research
The Stability of Two-Station Multitype Fluid Networks
Operations Research
Mathematical and Computer Modelling: An International Journal
Necessary conditions for global stability of multiclass queueing networks
Operations Research Letters
On deciding stability of constrained random walks and queueing systems
ACM SIGMETRICS Performance Evaluation Review
Stability of Fluid Networks with Proportional Routing
Queueing Systems: Theory and Applications
Existence Condition for the Diffusion Approximations of Multiclass Priority Queueing Networks
Queueing Systems: Theory and Applications
Instability of FIFO in session-oriented networks
Journal of Algorithms - Special issue: SODA 2000
Robotics and Computer-Integrated Manufacturing
Lyapunov method for the stability of fluid networks
Operations Research Letters
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This paper studies the stability of a three-station fluid network. We show that, unlike the two-station networks in Dai and Vande Vate [18], the global stability region of our three-station network is not the intersection of its stability regions under static buffer priority disciplines. Thus, the “worst” or extremal disciplines are not static buffer priority disciplines. We also prove that the global stability region of our three-station network is not monotone in the service times and so, we may move a service time vector out of the global stability region by reducing the service time for a class. We introduce the monotone global stability region and show that a linear program (LP) related to a piecewise linear Lyapunov function characterizes this largest monotone subset of the global stability region for our three-station network. We also show that the LP proposed by Bertsimas et al. [1] does not characterize either the global stability region or even the monotone global stability region of our three-station network. Further, we demonstrate that the LP related to the linear Lyapunov function proposed by Chen and Zhang [11] does not characterize the stability region of our three-station network under a static buffer priority discipline.