SDM-EON中考虑空闲光路预测的节能算法

doi:10.11959/j.issn.1000-436x.2019203

Abstract

Abstract:

To effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm,when the SDM-EON crosstalk limitation is satisfied,the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible.

Key words: SDM-EON, idle light-path prediction, extreme learning machine, energy-saving

CLC Number:

TN929.1

Yu XIONG, Jinyou HE, Baohua WANG, Bin ZHOU. Energy-saving algorithm considering idle light-path prediction in SDM-EON[J]. Journal on Communications, 2019, 40(10): 137-148.

Figures/Tables 11

符号	意义	符号	意义
N	网络节点集合	$P_{P}^{f}$	网络中PLZT总静态功耗
Z	单个物理节点的BV-OT集合	$P_{S}^{f}$	网络中SSS总静态功耗
R	业务节点对的集合	$P_{C}^{f}$	网络中CE总静态功耗
E_total	网络中的总能耗	$P_{G}^{f}$	网络中EDFA的总静态功耗
P_f	网络中总的静态功耗	$P_{T}^{d}$	网络中BV-OT的总动态功耗
P_d	网络中总的动态功耗	$P_{R}^{d}$	网络中OF-IR的总动态功耗
P_e	网络中总的开关功耗	$P_{T}^{f}$	网络中BV-OT的总静态功耗
$P_{R}^{f}$	网络中 OF-IR 的总静态功耗	$p_{e, a b}^{i j}$	收发器ab拆建光路ij 产生的开关功耗
$P_{O}^{f}$	网络中OF-OXC总静态功耗	E_h	网络中重利用的空闲光路总加载能耗

References 17

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Figures/Tables 11

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网络设备	静态功耗/W	单位动态功耗/(W.(Gbit·s)^-1)
OF-IR	1 329.33	0.465
OF-OXC	150	0
PLZT	8	0
SSS	40	0
CE	100	0
EDFA	110	0
BV-OT	120	0.180

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