Qualitative properties of α-weighted scheduling policies

We consider a switched network, a fairly general constrained queueing network model that has been used successfully to model the detailed packet-level dynamics in communication networks, such as input-queued switches and wireless networks. The main operational issue in this model is that of deciding which queues to serve, subject to certain constraints. In this paper, we study qualitative performance properties of the well known α-weighted scheduling policies. The stability, in the sense of positive recurrence, of these policies has been well understood. We establish exponential upper bounds on the tail of the steady-state distribution of the backlog. Along the way, we prove finiteness of the expected steady-state backlog when α<1, a property that was known only for α ≥ 1. Finally, we analyze the excursions of the maximum backlog over a finite time horizon for α ≥ 1. As a consequence, for α ≥ 1, we establish the full state space collapse property.

[1]  Murray Hill,et al.  SCHEDULING IN A QUEUING SYSTEM WITH ASYNCHRONOUSLY VARYING SERVICE RATES , 2004 .

[2]  Nick McKeown,et al.  The iSLIP scheduling algorithm for input-queued switches , 1999, TNET.

[3]  Devavrat Shah,et al.  Optimal Scheduling Algorithms for Input-Queued Switches , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[4]  Leandros Tassiulas,et al.  Resource Allocation and Cross Layer Control in Wireless Networks (Foundations and Trends in Networking, V. 1, No. 1) , 2006 .

[5]  G. Grimmett,et al.  Probability and random processes , 2002 .

[6]  Balaji Prabhakar,et al.  The throughput of data switches with and without speedup , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[7]  Devavrat Shah,et al.  Network adiabatic theorem: an efficient randomized protocol for contention resolution , 2009, SIGMETRICS '09.

[8]  Xiaojun Lin,et al.  Structural Properties of LDP for Queue-Length Based Wireless Scheduling Algorithms , 2007 .

[9]  Sean P. Meyn,et al.  Stability and convergence of moments for multiclass queueing networks via fluid limit models , 1995, IEEE Trans. Autom. Control..

[10]  J. Tsitsiklis,et al.  Performance of Multiclass Markovian Queueing Networks Via Piecewise Linear Lyapunov Functions , 2001 .

[11]  J. Harrison Brownian models of open processing networks: canonical representation of workload , 2000 .

[12]  A. Stolyar MaxWeight scheduling in a generalized switch: State space collapse and workload minimization in heavy traffic , 2004 .

[13]  J. Dai,et al.  Asymptotic optimality of maximum pressure policies in stochastic processing networks. , 2008, 0901.2451.

[14]  Paolo Giaccone,et al.  Randomized scheduling algorithms for high-aggregate bandwidth switches , 2003, IEEE J. Sel. Areas Commun..

[15]  Jean C. Walrand,et al.  Achieving 100% throughput in an input-queued switch , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[16]  Xiaojun Lin,et al.  On the large-deviations optimality of scheduling policies minimizing the drift of a Lyapunov function , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[17]  J. Tsitsiklis,et al.  Qualitative properties of alpha-weighted scheduling policies , 2010, SIGMETRICS.

[18]  Leandros Tassiulas,et al.  Linear complexity algorithms for maximum throughput in radio networks and input queued switches , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[19]  Leandros Tassiulas,et al.  Resource Allocation and Cross-Layer Control in Wireless Networks , 2006, Found. Trends Netw..

[20]  Tara Javidi,et al.  Many-Sources Large Deviations for Max-Weight Scheduling , 2008, IEEE Transactions on Information Theory.

[21]  Leandros Tassiulas,et al.  Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks , 1992 .

[22]  Alexander L. Stolyar,et al.  Large Deviations of Queues Sharing a Randomly Time-Varying Server , 2008, Queueing Syst. Theory Appl..

[23]  Ali Esmaili,et al.  Probability and Random Processes , 2005, Technometrics.

[24]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[25]  Nick McKeown,et al.  Analysis of scheduling algorithms that provide 100% throughput in input-queued switches , 2001 .

[26]  R. J. Williams,et al.  Fluid model for a network operating under a fair bandwidth-sharing policy , 2004, math/0407057.