Admission Control for Combined Guaranteed Performance and Best Effort Communications Systems Under Heavy Traffic

Communications systems often have many types of users. Since the users share the same resource, there is a conflict in their needs. This conflict leads to the imposition of controls on admission or elsewhere. In this paper, there are two types of customers, GP (Guaranteed Performance) and BE (Best Effort). We consider an admission control of GP customer which has two roles. First, to guarantee the performance of the existing GP customers, and second, to regulate the congestion for the BE users. The optimal control problem for the actual physical system is difficult. A heavy traffic approximation is used, with optimal or nearly optimal controls. It is shown that the optimal values for the physical system converge to that for the limit system and that good controls for the limit system are also good for the physical system. This is done for both the discounted and average cost per unit time cost criteria. Additionally, asymptotically, the pathwise average (not mean) costs for the physical system are nearly minimal when good nearly optimal controls for the limit system are used. Numerical data show that the heavy traffic optimal control approach can lead to substantial reductions in waiting time for BE with only quite moderate rejections of GP, under heavy traffic. It also shows that the controls are often linear in the state variables. The approach has many advantages. It is robust, simplifies the analysis (both analytical and numerical), and allows a more convenient study of the parametric dependencies. Even if optimal control is not wanted, the approach is very convenient for a systematic exploration of the possible tradeoffs among the various cost components. This is done by numerically solving a series of problems with different weights on the costs. We can then get the best tradeoffs and the control policies which give them.

[1]  H. Kushner Optimality Conditions for the Average Cost per Unit Time Problem with a Diffusion Model , 1978 .

[2]  Harold J. Kushner,et al.  Approximation and Weak Convergence Methods for Random Processes , 1984 .

[3]  W. Grassman Approximation and Weak Convergence Methods for Random Processes with Applications to Stochastic Systems Theory (Harold J. Kushner) , 1986 .

[4]  A. Hordijk,et al.  Constrained admission control to a queueing system , 1989, Advances in Applied Probability.

[5]  H. Kushner,et al.  Optimal and approximately optimal control policies for queues in heavy traffic , 1989 .

[6]  Keith W. Ross,et al.  Optimal circuit access policies in an ISDN environment: a Markov decision approach , 1989, IEEE Trans. Commun..

[7]  Hamid Ahmadi,et al.  Equivalent Capacity and Its Application to Bandwidth Allocation in High-Speed Networks , 1991, IEEE J. Sel. Areas Commun..

[8]  L. F. Martins,et al.  Numerical Methods for Stochastic Singular Control Problems , 1991 .

[9]  Frank P. Kelly,et al.  Effective bandwidths at multi-class queues , 1991, Queueing Syst. Theory Appl..

[10]  P. Dupuis,et al.  On Lipschitz continuity of the solution mapping to the Skorokhod problem , 1991 .

[11]  Richard J. Gibbens,et al.  Effective bandwidths for the multi-type UAS channel , 1991, Queueing Syst. Theory Appl..

[12]  Jean C. Walrand,et al.  Effective bandwidths for multiclass Markov fluids and other ATM sources , 1993, TNET.

[13]  Harold J. Kushner,et al.  Heavy Traffic Analysis of a Data Transmission System with Many Independent Sources , 1993, SIAM J. Appl. Math..

[14]  Debasis Mitra,et al.  Effective bandwidth of general Markovian traffic sources and admission control of high speed networks , 1993, IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings.

[15]  Ward Whitt,et al.  Tail probabilities with statistical multiplexing and effective bandwidths in multi-class queues , 1993, Telecommun. Syst..

[16]  Hong Chen,et al.  Diffusion approximations for open queueing networks with service interruptions , 1993, Queueing Syst. Theory Appl..

[17]  M. Reiman,et al.  Optimality of Randomized Trunk Reservation , 1994 .

[18]  Harold J. Kushner,et al.  A Numerical Method for Controlled Routing in Large Trunk Line Networks via Stochastic Control Theory , 1994, INFORMS J. Comput..

[19]  Harold J. Kushner,et al.  Controlled and optimally controlled multiplexing systems: A numerical exploration , 1995, Queueing Syst. Theory Appl..

[20]  V. Jacobson Congestion avoidance and control , 1988, CCRV.

[21]  P. Brown,et al.  Analysis of the TCP/IP Flow Control in High-Speed Wide-area Networks , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[22]  H. Kushner Control of Trunk Line Systems in Heavy Traffic , 1995 .

[23]  Erol Gelenbe,et al.  Diffusion Based Statistical Call Admission Control in ATM , 1996, Perform. Evaluation.

[24]  L. F. Martins,et al.  Heavy Traffic Analysis of a Controlled Multiclass Queueing Network via Weak Convergence Methods , 1996 .

[25]  Jean-Chrysostome Bolot,et al.  Control mechanisms for packet audio in the Internet , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[26]  David Tse,et al.  Measurement-based call admission control: analysis and simulation , 1997, Proceedings of INFOCOM '97.

[27]  Donald F. Towsley,et al.  Exponential bounds with applications to call admission , 1997, JACM.

[28]  A. Mandelbaum,et al.  State-dependent stochastic networks. Part I. Approximations and applications with continuous diffusion limits , 1998 .

[29]  Harold J. Kushner Heavy traffic analysis of controlled multiplexing systems , 1998, Queueing Syst. Theory Appl..

[30]  Eitan Altman,et al.  On the Integration of Best-Effort and Guaranteed Performance Services , 1999, Eur. Trans. Telecommun..

[31]  David Tse,et al.  A framework for robust measurement-based admission control , 1999, TNET.

[32]  H. Kushner Numerical Methods for Stochastic Control Problems in Continuous Time , 2000 .

[33]  Eitan Altman,et al.  Bandwidth allocation for guaranteed versus best effort service categories , 2000, Queueing Syst. Theory Appl..