An Adaptive Traffic Prediction Protocol for the Optical Networks

Wen-Tsuen CHEN; Wen-Tsung LIN; Che-Ming LU

An Adaptive Traffic Prediction Protocol for the Optical Networks

Wen-Tsuen CHEN, Wen-Tsung LIN, Che-Ming LU

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This work presents a scalable and high performance prediction protocol for optical networks. In the proposed protocol, we develop a mathematical model to maintain the stability of a network system by prediction based on the traffic temporal locality property. All the critical factors, including transceiver tuning time, propagation delay, and processing time for dealing with control packets, are considered in the proposed prediction protocol. Furthermore, our protocol can resolve the bottlenecks attributed to control signaling and electronics processing. The performance evaluation reveals that the proposed scheme can yield the higher bandwidth efficiency and incur a lower packet delay than those of the TDM and conventional reservation schemes. Also, the proposed protocol can flexibly support any scaled network system such as MANs or LANs.

Publication: IEICE TRANSACTIONS on Communications Vol.E83-B No.4 pp.763-774

Publication Date: 2000/04/25

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Type of Manuscript: PAPER

Category: Fiber-Optic Transmission

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Wen-Tsuen CHEN, Wen-Tsung LIN, Che-Ming LU, "An Adaptive Traffic Prediction Protocol for the Optical Networks" in IEICE TRANSACTIONS on Communications, vol. E83-B, no. 4, pp. 763-774, April 2000, doi: .
Abstract: This work presents a scalable and high performance prediction protocol for optical networks. In the proposed protocol, we develop a mathematical model to maintain the stability of a network system by prediction based on the traffic temporal locality property. All the critical factors, including transceiver tuning time, propagation delay, and processing time for dealing with control packets, are considered in the proposed prediction protocol. Furthermore, our protocol can resolve the bottlenecks attributed to control signaling and electronics processing. The performance evaluation reveals that the proposed scheme can yield the higher bandwidth efficiency and incur a lower packet delay than those of the TDM and conventional reservation schemes. Also, the proposed protocol can flexibly support any scaled network system such as MANs or LANs.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e83-b_4_763/_p

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@ARTICLE{e83-b_4_763,
author={Wen-Tsuen CHEN, Wen-Tsung LIN, Che-Ming LU, },
journal={IEICE TRANSACTIONS on Communications},
title={An Adaptive Traffic Prediction Protocol for the Optical Networks},
year={2000},
volume={E83-B},
number={4},
pages={763-774},
abstract={This work presents a scalable and high performance prediction protocol for optical networks. In the proposed protocol, we develop a mathematical model to maintain the stability of a network system by prediction based on the traffic temporal locality property. All the critical factors, including transceiver tuning time, propagation delay, and processing time for dealing with control packets, are considered in the proposed prediction protocol. Furthermore, our protocol can resolve the bottlenecks attributed to control signaling and electronics processing. The performance evaluation reveals that the proposed scheme can yield the higher bandwidth efficiency and incur a lower packet delay than those of the TDM and conventional reservation schemes. Also, the proposed protocol can flexibly support any scaled network system such as MANs or LANs.},
keywords={},
doi={},
ISSN={},
month={April},}

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TY - JOUR
TI - An Adaptive Traffic Prediction Protocol for the Optical Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 763
EP - 774
AU - Wen-Tsuen CHEN
AU - Wen-Tsung LIN
AU - Che-Ming LU
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E83-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2000
AB - This work presents a scalable and high performance prediction protocol for optical networks. In the proposed protocol, we develop a mathematical model to maintain the stability of a network system by prediction based on the traffic temporal locality property. All the critical factors, including transceiver tuning time, propagation delay, and processing time for dealing with control packets, are considered in the proposed prediction protocol. Furthermore, our protocol can resolve the bottlenecks attributed to control signaling and electronics processing. The performance evaluation reveals that the proposed scheme can yield the higher bandwidth efficiency and incur a lower packet delay than those of the TDM and conventional reservation schemes. Also, the proposed protocol can flexibly support any scaled network system such as MANs or LANs.
ER -