A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON

MohammadAmin LOTFOLAHI; Cheng-Zen YANG; I-Shyan HWANG; AliAkbar NIKOUKAR; Yu-Hua WU

doi:10.1587/transinf.2017EDP7350

A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON

MohammadAmin LOTFOLAHI, Cheng-Zen YANG, I-Shyan HWANG, AliAkbar NIKOUKAR, Yu-Hua WU

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Ethernet passive optical network (EPON) is one of the energy-efficient access networks. Many studies have been done to reach maximum energy saving in the EPON. However, it is a trade-off between achieving maximum energy saving and guaranteeing QoS. In this paper, a predictive doze mode mechanism in an enhanced EPON architecture is proposed to achieve energy saving by using a logistic regression (LR) model. The optical line terminal (OLT) in the EPON employs an enhanced Doze Manager practicing the LR model to predict the doze periods of the optical network units (ONUs). The doze periods are estimated more accurately based on the historical high-priority traffic information, and logistic regression DBA (LR-DBA) performs dynamic bandwidth allocation accordingly. The proposed LR-DBA mechanism is compared with a scheme without energy saving (IPACT) and another scheme with energy saving (GDBA). Simulation results show that LR-DBA effectively improves the power consumption of ONUs in most cases, and the improvement can be up to 45% while it guarantees the QoS metrics, such as the high-priority traffic delay and jitter.

Publication: IEICE TRANSACTIONS on Information Vol.E101-D No.3 pp.678-684

Publication Date: 2018/03/01

Publicized: 2017/12/18

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2017EDP7350

Type of Manuscript: PAPER

Category: Information Network

Authors

MohammadAmin LOTFOLAHI
  Yuan Ze University
Cheng-Zen YANG
  Yuan Ze University
I-Shyan HWANG
  Yuan Ze University
AliAkbar NIKOUKAR
  Yasouj University
Yu-Hua WU
  Yuan Ze University

Keyword

EPON, energy saving, logistic regression, LR-DBA

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MohammadAmin LOTFOLAHI, Cheng-Zen YANG, I-Shyan HWANG, AliAkbar NIKOUKAR, Yu-Hua WU, "A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON" in IEICE TRANSACTIONS on Information, vol. E101-D, no. 3, pp. 678-684, March 2018, doi: 10.1587/transinf.2017EDP7350.
Abstract: Ethernet passive optical network (EPON) is one of the energy-efficient access networks. Many studies have been done to reach maximum energy saving in the EPON. However, it is a trade-off between achieving maximum energy saving and guaranteeing QoS. In this paper, a predictive doze mode mechanism in an enhanced EPON architecture is proposed to achieve energy saving by using a logistic regression (LR) model. The optical line terminal (OLT) in the EPON employs an enhanced Doze Manager practicing the LR model to predict the doze periods of the optical network units (ONUs). The doze periods are estimated more accurately based on the historical high-priority traffic information, and logistic regression DBA (LR-DBA) performs dynamic bandwidth allocation accordingly. The proposed LR-DBA mechanism is compared with a scheme without energy saving (IPACT) and another scheme with energy saving (GDBA). Simulation results show that LR-DBA effectively improves the power consumption of ONUs in most cases, and the improvement can be up to 45% while it guarantees the QoS metrics, such as the high-priority traffic delay and jitter.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2017EDP7350/_p

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@ARTICLE{e101-d_3_678,
author={MohammadAmin LOTFOLAHI, Cheng-Zen YANG, I-Shyan HWANG, AliAkbar NIKOUKAR, Yu-Hua WU, },
journal={IEICE TRANSACTIONS on Information},
title={A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON},
year={2018},
volume={E101-D},
number={3},
pages={678-684},
abstract={Ethernet passive optical network (EPON) is one of the energy-efficient access networks. Many studies have been done to reach maximum energy saving in the EPON. However, it is a trade-off between achieving maximum energy saving and guaranteeing QoS. In this paper, a predictive doze mode mechanism in an enhanced EPON architecture is proposed to achieve energy saving by using a logistic regression (LR) model. The optical line terminal (OLT) in the EPON employs an enhanced Doze Manager practicing the LR model to predict the doze periods of the optical network units (ONUs). The doze periods are estimated more accurately based on the historical high-priority traffic information, and logistic regression DBA (LR-DBA) performs dynamic bandwidth allocation accordingly. The proposed LR-DBA mechanism is compared with a scheme without energy saving (IPACT) and another scheme with energy saving (GDBA). Simulation results show that LR-DBA effectively improves the power consumption of ONUs in most cases, and the improvement can be up to 45% while it guarantees the QoS metrics, such as the high-priority traffic delay and jitter.},
keywords={},
doi={10.1587/transinf.2017EDP7350},
ISSN={1745-1361},
month={March},}

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TY - JOUR
TI - A Predictive Logistic Regression Based Doze Mode Energy-Efficiency Mechanism in EPON
T2 - IEICE TRANSACTIONS on Information
SP - 678
EP - 684
AU - MohammadAmin LOTFOLAHI
AU - Cheng-Zen YANG
AU - I-Shyan HWANG
AU - AliAkbar NIKOUKAR
AU - Yu-Hua WU
PY - 2018
DO - 10.1587/transinf.2017EDP7350
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2018
AB - Ethernet passive optical network (EPON) is one of the energy-efficient access networks. Many studies have been done to reach maximum energy saving in the EPON. However, it is a trade-off between achieving maximum energy saving and guaranteeing QoS. In this paper, a predictive doze mode mechanism in an enhanced EPON architecture is proposed to achieve energy saving by using a logistic regression (LR) model. The optical line terminal (OLT) in the EPON employs an enhanced Doze Manager practicing the LR model to predict the doze periods of the optical network units (ONUs). The doze periods are estimated more accurately based on the historical high-priority traffic information, and logistic regression DBA (LR-DBA) performs dynamic bandwidth allocation accordingly. The proposed LR-DBA mechanism is compared with a scheme without energy saving (IPACT) and another scheme with energy saving (GDBA). Simulation results show that LR-DBA effectively improves the power consumption of ONUs in most cases, and the improvement can be up to 45% while it guarantees the QoS metrics, such as the high-priority traffic delay and jitter.
ER -