High Speed Video Transmission for Telemedicine using ATM Technology
In this paper, we study statistical multiplexing of VBR
video in ATM networks. ATM promises to provide high speed realtime
multi-point to central video transmission for telemedicine
applications in rural hospitals and in emergency medical services.
Video coders are known to produce variable bit rate (VBR) signals
and the effects of aggregating these VBR signals need to be
determined in order to design a telemedicine network infrastructure
capable of carrying these signals. We first model the VBR video
signal and simulate it using a generic continuous-data autoregressive
(AR) scheme. We carry out the queueing analysis by the Fluid
Approximation Model (FAM) and the Markov Modulated Poisson
Process (MMPP). The study has shown a trade off: multiplexing
VBR signals reduces burstiness and improves resource utilization,
however, the buffer size needs to be increased with an associated
economic cost. We also show that the MMPP model and the Fluid
Approximation model fit best, respectively, the cell region and the
burst region. Therefore, a hybrid MMPP and FAM completely
characterizes the overall performance of the ATM statistical
multiplexer. The ramifications of this technology are clear: speed,
reliability (lower loss rate and jitter), and increased capacity in video
transmission for telemedicine. With migration to full IP-based
networks still a long way to achieving both high speed and high
quality of service, the proposed ATM architecture will remain of
significant use for telemedicine.
[1] D. Anick, D. Mitra, and M. Sondhi, "Stochastic Theory of Data-
Handling System with Multiple Sources," Bell System TechnicalJournal,
vol. 61, no. 6, 1982, pp. 1871-1894.
[2] B. Maglaris, D. Anastassiou, P. Sen, G. Karlsson, and J. Robbins,
"Performance Models of Statistical Multiplexing in Packet Video
Communications," IEEE Trans. on Comm., vol. 7, 1988, pp. 834-844.
[3] H. Saito, M. Kawarasaki, and H. Yamada, "An Analysis of Statistical
Multiplexing in an ATM Transport Network," IEEE Journal on Selected
Areas in Communication, vol. 9, no. 3, 1991, pp. 359-367.
[4] H. Heffes and D. Lucantoni, "A Markov Modulated Characterisation of
Packetized Voice and Data Traffic and Related Statistical Multiplexer
Performance," IEEE J. on Sel. Areas in Comm, vol. 4, 1986, pp. 856-
867.
[5] L. Cuthbert and J. Sapanel, ATM: The Broadband Telecommunications
Solution. London: IEE, 1993.
[6] A. Elwalid and D. Mirra, "Fluid Models for the Analysis and Design of
Statistical Multiplexing with Loss Priorities on Multiple Classes of
Bursty Traffic," Proc. Infocom-92, 1992, pp. 415-425.
[1] D. Anick, D. Mitra, and M. Sondhi, "Stochastic Theory of Data-
Handling System with Multiple Sources," Bell System TechnicalJournal,
vol. 61, no. 6, 1982, pp. 1871-1894.
[2] B. Maglaris, D. Anastassiou, P. Sen, G. Karlsson, and J. Robbins,
"Performance Models of Statistical Multiplexing in Packet Video
Communications," IEEE Trans. on Comm., vol. 7, 1988, pp. 834-844.
[3] H. Saito, M. Kawarasaki, and H. Yamada, "An Analysis of Statistical
Multiplexing in an ATM Transport Network," IEEE Journal on Selected
Areas in Communication, vol. 9, no. 3, 1991, pp. 359-367.
[4] H. Heffes and D. Lucantoni, "A Markov Modulated Characterisation of
Packetized Voice and Data Traffic and Related Statistical Multiplexer
Performance," IEEE J. on Sel. Areas in Comm, vol. 4, 1986, pp. 856-
867.
[5] L. Cuthbert and J. Sapanel, ATM: The Broadband Telecommunications
Solution. London: IEE, 1993.
[6] A. Elwalid and D. Mirra, "Fluid Models for the Analysis and Design of
Statistical Multiplexing with Loss Priorities on Multiple Classes of
Bursty Traffic," Proc. Infocom-92, 1992, pp. 415-425.
@article{"International Journal of Electrical, Electronic and Communication Sciences:64566", author = "J. P. Dubois and H. M. Chiu", title = "High Speed Video Transmission for Telemedicine using ATM Technology", abstract = "In this paper, we study statistical multiplexing of VBR
video in ATM networks. ATM promises to provide high speed realtime
multi-point to central video transmission for telemedicine
applications in rural hospitals and in emergency medical services.
Video coders are known to produce variable bit rate (VBR) signals
and the effects of aggregating these VBR signals need to be
determined in order to design a telemedicine network infrastructure
capable of carrying these signals. We first model the VBR video
signal and simulate it using a generic continuous-data autoregressive
(AR) scheme. We carry out the queueing analysis by the Fluid
Approximation Model (FAM) and the Markov Modulated Poisson
Process (MMPP). The study has shown a trade off: multiplexing
VBR signals reduces burstiness and improves resource utilization,
however, the buffer size needs to be increased with an associated
economic cost. We also show that the MMPP model and the Fluid
Approximation model fit best, respectively, the cell region and the
burst region. Therefore, a hybrid MMPP and FAM completely
characterizes the overall performance of the ATM statistical
multiplexer. The ramifications of this technology are clear: speed,
reliability (lower loss rate and jitter), and increased capacity in video
transmission for telemedicine. With migration to full IP-based
networks still a long way to achieving both high speed and high
quality of service, the proposed ATM architecture will remain of
significant use for telemedicine.", keywords = "ATM, multiplexing, queueing, telemedicine, VBR.", volume = "1", number = "12", pages = "1957-5", }