Based on traffic prediction, a new reservation method is proposed to reduce delay and void filling ratio at edge node of optical burst switching networks. Simulation studies show that our method achieves an important improvement and has a dynamic optimum weight value in a certain offset time.
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Zhicheng SUI, Qingji ZENG, Shilin XIAO, "Reservation on Traffic Prediction in OBS Networks" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 4, pp. 1658-1660, April 2005, doi: 10.1093/ietcom/e88-b.4.1658.
Abstract: Based on traffic prediction, a new reservation method is proposed to reduce delay and void filling ratio at edge node of optical burst switching networks. Simulation studies show that our method achieves an important improvement and has a dynamic optimum weight value in a certain offset time.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.4.1658/_p
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@ARTICLE{e88-b_4_1658,
author={Zhicheng SUI, Qingji ZENG, Shilin XIAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Reservation on Traffic Prediction in OBS Networks},
year={2005},
volume={E88-B},
number={4},
pages={1658-1660},
abstract={Based on traffic prediction, a new reservation method is proposed to reduce delay and void filling ratio at edge node of optical burst switching networks. Simulation studies show that our method achieves an important improvement and has a dynamic optimum weight value in a certain offset time.},
keywords={},
doi={10.1093/ietcom/e88-b.4.1658},
ISSN={},
month={April},}
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TY - JOUR
TI - Reservation on Traffic Prediction in OBS Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1658
EP - 1660
AU - Zhicheng SUI
AU - Qingji ZENG
AU - Shilin XIAO
PY - 2005
DO - 10.1093/ietcom/e88-b.4.1658
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2005
AB - Based on traffic prediction, a new reservation method is proposed to reduce delay and void filling ratio at edge node of optical burst switching networks. Simulation studies show that our method achieves an important improvement and has a dynamic optimum weight value in a certain offset time.
ER -