Stable Priority Disciplines for Multiclass Networks

It is well known that a multiclass network may not be stable under the usual traffic condition that the arrived nominal workload is less than one. That this instability may happen in many “favorite” disciplines (such as first-in-first-out, shorted expected service times, and shorted expected remaining service times) has been the focus of many recent studies. In this paper, we address the stability issue from a different angle by asking: whether given any network satisfying the traffic condition, a simple priority discipline can be identified under which the network is guaranteed to be stable. We show this can be done under the condition of acyclic class transfer. This covers a wide class of networks, including all networks with a deterministic routing mechanism, such as re-entrant lines and Kelly networks.

[1]  Anthony Unwin,et al.  Reversibility and Stochastic Networks , 1980 .

[2]  J. Dai On Positive Harris Recurrence of Multiclass Queueing Networks: A Unified Approach Via Fluid Limit Models , 1995 .

[3]  J. BANKS,et al.  Simulation studies of multiclass queueing networks , 1997 .

[4]  Sean P. Meyn Transience of Multiclass Queueing Networks Via Fluid Limit Models , 1995 .

[5]  Hong Chen Fluid Approximations and Stability of Multiclass Queueing Networks: Work-Conserving Disciplines , 1995 .

[6]  Sean P. Meyn,et al.  Stability of queueing networks and scheduling policies , 1995, IEEE Trans. Autom. Control..

[7]  Maury Bramson,et al.  Convergence to equilibria for fluid models of FIFO queueing networks , 1996, Queueing Syst. Theory Appl..

[8]  M. Bramson Instability of FIFO Queueing Networks , 1994 .

[9]  Hong Chen,et al.  Stability of Multiclass Queueing Networks Under FIFO Service Discipline , 1997, Math. Oper. Res..

[10]  Robert J. Plemmons,et al.  Nonnegative Matrices in the Mathematical Sciences , 1979, Classics in Applied Mathematics.

[11]  P. R. Kumar,et al.  Dynamic instabilities and stabilization methods in distributed real-time scheduling of manufacturing systems , 1990 .

[12]  P. R. Kumar,et al.  Re-entrant lines , 1993, Queueing Syst. Theory Appl..

[13]  Vincent Dumas,et al.  A multiclass network with non-linear, non-convex, non-monotonic stability conditions , 1997, Queueing Syst. Theory Appl..

[14]  D. Botvich,et al.  Ergodicity of conservative communication networks , 1994 .

[15]  Gil I. Winograd,et al.  The FCFS Service Discipline: Stable Network Topologies, Bounds on Traffic Burstiness and Delay, and , 1996 .

[16]  P. R. Kumar,et al.  Dynamic instabilities and stabilization methods in distributed real-time scheduling of manufacturing systems , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[17]  John H. Vande Vate,et al.  Global Stability of Two-Station Queueing Networks , 1996 .

[18]  J. Dai On Positive Harris Recurrence of Multiclass Queueing Networks: A Unified Approach Via Fluid Limit Models , 1995 .

[19]  Sean P. Meyn,et al.  Stability of queueing networks and scheduling policies , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[20]  Sean P. Meyn,et al.  Piecewise linear test functions for stability of queueing networks , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[21]  P. R. Kumar,et al.  Distributed scheduling based on due dates and buffer priorities , 1991 .

[22]  M. Bramson Instability of FIFO Queueing Networks with Quick Service Times , 1994 .

[23]  Gideon Weiss,et al.  Stability and Instability of Fluid Models for Reentrant Lines , 1996, Math. Oper. Res..