Evaluation and comparison of cell loss and delay models for ATM multiplexers

Among several models that are available to represent the aggregate cell flow generated by on–off sources at an ATM multiplexer (either at an access or a switching node), the Interrupted Bernoulli Process (IBP) is characterized by particular simplicity and analytical tractability. The superposition of sources individually modeled as an IBP, whose cells enter a common buffer, is considered in this paper. The main goal is to compute approximations of two basic Quality of Service (QoS) indicators, namely, cell loss rate, whose analytical computation has been already presented in previous works, and the rate of cells exceeding a specified delay, whose presentation constitutes the theoretical novelty of the paper. Analytical expressions of these two quantities are given for homogeneous sources, i.e., possessing the same statistical parameters and QoS requirements. The analytical formulation is carefully evaluated by comparing the results obtained with others presented in the literature and with simulation results; in the latter, the actual cell arrival process is generated by means of a Markov Modulated Deterministic Process (MMDP) model of the on–off sources. Several comparisons are performed for different offered loads and by varying the buffer length, which show the effectiveness and the limits of the technique under investigation.

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

[2]  Mario Marchese,et al.  A simple model for cell loss probability evaluation in an ATM multiplexer , 1996, Modelling and Evaluation of ATM Networks.

[3]  Riccardo Melen Reviews and New Releases Achille Pattavina. Switching Theory, Architectures and Performance in Broadband atm Networks John Wiley & Sons, 1998 , 1999 .

[4]  Cheng-Shang Chang,et al.  Stability, queue length, and delay of deterministic and stochastic queueing networks , 1994, IEEE Trans. Autom. Control..

[5]  David E. McDysan,et al.  ATM: Theory and Application , 1994 .

[6]  Walter Willinger,et al.  On the self-similar nature of Ethernet traffic , 1993, SIGCOMM '93.

[7]  Abhay Parekh,et al.  A generalized processor sharing approach to flow control in integrated services networks: the single-node case , 1993, TNET.

[8]  Mischa Schwartz,et al.  Broadband integrated networks , 1996 .

[9]  Ralf Lehnert,et al.  A review of voice, data and video traffic models for ATM , 1994, Eur. Trans. Telecommun..

[10]  Riccardo Melen,et al.  Evaluating the limit behavior of the ATM traffic within a network , 1995, TNET.

[11]  Keith W. Ross,et al.  Multiservice Loss Models for Broadband Telecommunication Networks , 1997 .

[12]  David M. Lucantoni,et al.  A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance , 1986, IEEE J. Sel. Areas Commun..

[13]  Sally Floyd,et al.  Wide area traffic: the failure of Poisson modeling , 1995, TNET.

[14]  Vern Paxson,et al.  Empirically derived analytic models of wide-area TCP connections , 1994, TNET.

[15]  Tao Yang,et al.  A novel approach to estimating the cell loss probability in an ATM multiplexer loaded with homogeneous on-off sources , 1995, IEEE Trans. Commun..

[16]  Paul T. Brady,et al.  A model for generating on-off speech patterns in two-way conversation , 1969 .

[17]  Mario Marchese,et al.  Evaluation of a cell loss rate computation method in ATM multiplexers with multiple bursty sources and different traffic classes , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[18]  Hiroshi Saito,et al.  Teletraffic Technologies in ATM Networks , 1994 .

[19]  Ward Whitt,et al.  Characterizing Superposition Arrival Processes in Packet Multiplexers for Voice and Data , 1986, IEEE J. Sel. Areas Commun..

[20]  James F. Kurose,et al.  On computing per-session performance bounds in high-speed multi-hop computer networks , 1992, SIGMETRICS '92/PERFORMANCE '92.

[21]  Raif O. Onvural,et al.  Asynchronous Transfer Mode Networks: Performance Issues, Second Edition , 1993 .

[22]  Donald F. Towsley,et al.  Approximation Techniques for Computing Packet Loss in Finite-Buffered Voice Multiplexers , 1991, IEEE J. Sel. Areas Commun..

[23]  Annie Gravey,et al.  Simultaneity in Discrete-Time Single Server Queues with Bernoulli Inputs , 1992, Perform. Evaluation.

[24]  Maurice Gagnaire,et al.  An analytical description of the packet trains model for LAN traffic characterization , 1994, Modelling and Evaluation of ATM Networks.

[25]  Christoph Herrmann VBR video in ATM without frame buffering: influence of a periodic correlation function on QoS parameters , 1994, Modelling and Evaluation of ATM Networks.

[26]  H. Jonathan Chao,et al.  An ATM queue manager handling multiple delay and loss priorities , 1995, TNET.

[27]  J. W. Roberts,et al.  Performance evaluation and design of multiservice networks , 1992 .

[28]  S. Jamaloddin Golestani,et al.  A Framing Strategy for Congestion Management , 1991, IEEE J. Sel. Areas Commun..

[29]  Mario Marchese,et al.  Bandwidth allocation and admission control in ATM networks with service separation , 1997, IEEE Commun. Mag..

[30]  T. Suda,et al.  Evaluation of an admission control scheme for an ATM network considering fluctuations in cell loss rate , 1989, IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond.

[31]  Raif O. Onvural,et al.  Asynchronous Transfer Mode Networks , 1993 .

[32]  András Faragó,et al.  Broadband integrated networks: Mischa Schwartz, Prentice Hall, 1996 , 1997, MOCO.

[33]  Mischa Schwartz,et al.  A decomposition approximation for the analysis of voice/data integration , 1994, IEEE Trans. Commun..

[34]  Achille Pattavina,et al.  Switching theory : architectures and performance in broadband ATM networks , 1998 .