Analysis of an ATM Multiplexer with Correlated Real-Time and Independent Non-real-time Traffic
Summary :
This paper presents an alternative traffic model for an ATM multiplexer providing video, voice, image, and data services. The traffic model classifies the input traffic into two types: real-time and non-real-time. The input process for realtime traffic is periodic and correlated, while that for non-realtime traffic is batch Poisson and independent. This multiplexer is assumed to be a priority queueing system with synchronous servers operating on time-frame basis and with separate finite buffers for each type of traffic. State probabilities and performance measures are successfully obtained using a Markov analysis technique and an application of the residue theorem in complex variable. The results can be applied in the design of an ATM multiplexer.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E77-B No.12 pp.1521-1529
- Publication Date
- 1994/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Communication Networks and Service
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Chung-Ju CHANG, Jia-Ming CHEN, Po-Chou LIN, "Analysis of an ATM Multiplexer with Correlated Real-Time and Independent Non-real-time Traffic" in IEICE TRANSACTIONS on Communications,
vol. E77-B, no. 12, pp. 1521-1529, December 1994, doi: .
Abstract: This paper presents an alternative traffic model for an ATM multiplexer providing video, voice, image, and data services. The traffic model classifies the input traffic into two types: real-time and non-real-time. The input process for realtime traffic is periodic and correlated, while that for non-realtime traffic is batch Poisson and independent. This multiplexer is assumed to be a priority queueing system with synchronous servers operating on time-frame basis and with separate finite buffers for each type of traffic. State probabilities and performance measures are successfully obtained using a Markov analysis technique and an application of the residue theorem in complex variable. The results can be applied in the design of an ATM multiplexer.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e77-b_12_1521/_p
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@ARTICLE{e77-b_12_1521,
author={Chung-Ju CHANG, Jia-Ming CHEN, Po-Chou LIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Analysis of an ATM Multiplexer with Correlated Real-Time and Independent Non-real-time Traffic},
year={1994},
volume={E77-B},
number={12},
pages={1521-1529},
abstract={This paper presents an alternative traffic model for an ATM multiplexer providing video, voice, image, and data services. The traffic model classifies the input traffic into two types: real-time and non-real-time. The input process for realtime traffic is periodic and correlated, while that for non-realtime traffic is batch Poisson and independent. This multiplexer is assumed to be a priority queueing system with synchronous servers operating on time-frame basis and with separate finite buffers for each type of traffic. State probabilities and performance measures are successfully obtained using a Markov analysis technique and an application of the residue theorem in complex variable. The results can be applied in the design of an ATM multiplexer.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Analysis of an ATM Multiplexer with Correlated Real-Time and Independent Non-real-time Traffic
T2 - IEICE TRANSACTIONS on Communications
SP - 1521
EP - 1529
AU - Chung-Ju CHANG
AU - Jia-Ming CHEN
AU - Po-Chou LIN
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E77-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 1994
AB - This paper presents an alternative traffic model for an ATM multiplexer providing video, voice, image, and data services. The traffic model classifies the input traffic into two types: real-time and non-real-time. The input process for realtime traffic is periodic and correlated, while that for non-realtime traffic is batch Poisson and independent. This multiplexer is assumed to be a priority queueing system with synchronous servers operating on time-frame basis and with separate finite buffers for each type of traffic. State probabilities and performance measures are successfully obtained using a Markov analysis technique and an application of the residue theorem in complex variable. The results can be applied in the design of an ATM multiplexer.
ER -
English
