The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Ce travail présente un protocole de prédiction évolutif et haute performance pour les réseaux optiques. Dans le protocole proposé, nous développons un modèle mathématique pour maintenir la stabilité d'un système de réseau par prédiction basée sur la propriété de localité temporelle du trafic. Tous les facteurs critiques, notamment le temps de réglage de l'émetteur-récepteur, le délai de propagation et le temps de traitement pour traiter les paquets de contrôle, sont pris en compte dans le protocole de prédiction proposé. De plus, notre protocole peut résoudre les goulots d’étranglement attribués à la signalisation de contrôle et au traitement électronique. L'évaluation des performances révèle que le schéma proposé peut produire une efficacité de bande passante plus élevée et entraîner un retard de paquet inférieur à ceux des schémas de réservation TDM et conventionnels. En outre, le protocole proposé peut prendre en charge de manière flexible tout système de réseau à grande échelle tel que les MAN ou les LAN.
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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 -