弹性光网络中基于光路维持时间感知的节能策略

doi:10.16183/j.cnki.jsjtu.2018.09.015

摘要/Abstract

摘要： 为了有效减小弹性光网络的能耗，基于软件定义网络技术提出了一种光路维持时间感知的节能策略.该策略旨在减小网络中因拆建光路产生的巨大开关能耗，即首先结合软件定义网络技术和反向传播神经网络模型来感知网络中各光路的业务情况，其次对于网络中已完成业务传输而即将被拆除的光路，根据预测结果为该光路设定一个维持时间.通过为空闲光路设定维持时间，可以避免随后为此源目的节点对之间的业务请求重新建立光路，从而消除了重新建立光路产生的开关能耗.仿真结果表明，相对传统的没有考虑开关能耗的节能策略，所提策略甚至能够减小45%的网络总能耗且能使阻塞率维持在一个合理的范围.

关键词: 弹性光网络, 光路维持时间, 能耗

Abstract: To effectively reduce the energy consumption for elastic optical network, an energy saving strategy based on software defined networking is proposed. The strategy is designed to reduce the huge switching power of lightpath termination and re-establishment. Firstly, the software defined networking technology and back propagation neural network model are used to predict the traffic situation of each lightpath in the network. Then, for the lightpath on which the traffic transmission has been completed and is about to be removed, a holding time is set according to the prediction result. Setting the holding time for the idle lightpath can avoid the re-establishment of the lightpath between the same source destination node pairs and eliminat the switching power consumption. The simulation results show that the proposed strategy can reduce the total energy consumption by 45% while maintaining a bandwidth blocking ratio at levels comparable to strategies which do not consider the switching power.

Key words: elastic optical network, lightpath holding time, energy consumption

中图分类号:

TN 915.6

吕翊，师劲，杨娅娅. 弹性光网络中基于光路维持时间感知的节能策略[J]. 上海交通大学学报（自然版）, 2018, 52(9): 1104-1111.

Lü Yi,SHI Jin,YANG Yaya. Energy Saving Strategy Based on Lightpath Holding Time Aware for Elastic Optical Network[J]. Journal of Shanghai Jiaotong University, 2018, 52(9): 1104-1111.

参考文献

［1］LAM C F, LIU H, KOLEY B, et al. Fiber optic communication technologies: What’s needed for datacenter network operations［J］. IEEE Communications Magazine, 2010, 48 (7): 32-39. ［2］熊余, 邹轩, 范雪, 等. 基于多参数约束的自适应物理层损伤感知路由和波长分配算法［J］. 上海交通大学学报, 2015, 49(8): 1205-1212. XIONG Yu, ZOU Xuan, FAN Xue, et al. Adaptive impairment-aware routing and wavelength assignment algorithm based on multi-parameters constraint［J］. Journal of Shanghai Jiao Tong University, 2015, 49(8): 1205-1212. ［3］XIONG Y, FAN X, LIU S M. Fairness enhanced dynamic routing and spectrum allocation in elastic optical networks［J］. IET Communications, 2016, 10(9): 1012-1020. ［4］GREENBERG A, HAMILTON J, MALTZ D A, et al. The cost of a cloud: Research problems in data center networks［J］. Acm Sigcomm Computer Communication Review, 2008, 39(1): 68-73. ［5］ZHANG S, MARTEL C, MUKHERJEE B. Dynamic traffic grooming in elastic optical networks［J］. IEEE Journal on Selected Areas in Communications, 2013, 31(1): 4-12. ［6］BOLLA R, BRUSCHI R, DAVOLI F, et al. The green abstraction layer: A standard power-management interface for next-generation network devices［J］. IEEE Internet Computing, 2013, 17(2): 82-86. ［7］BOLLA R, BRUSCHI R, DAVOLI F, et al. Fine-grained energy-efficient consolidation in SDN networks and devices［J］. IEEE Transactions on Network and Service Management, 2015, 12(2): 132-145. ［8］RICCIARDI S, PALMIERI F, CASTIGLIONE A, et al. Energy efficiency of elastic frequency grids in multilayer IP/MPLS-over-flex grid networks［J］. Journal of Network and Computer Applications, 2015, 56: 41-47. ［9］FALLAHPOUR A, BEYRANVAND H, SALEHI J A. Energy-efficient manycast routing and spectrum assignment in elastic optical networks for cloud computing environment［J］. Lightwave Technology, 2015, 33(19): 4008-4018. ［10］KHODAKARAMI H, PILLAI B S G, SHIEH W. Quality of service provisioning and energy minimized scheduling in software defined flexible optical networks［J］. IEEE/OSA Journal of Optical Communications and Networking, 2016, 8(2): 118-128. ［11］BOLLA R, BRUSCHI R, LAGO P. The hidden cost of network low power idle［C］∥IEEE International Conference on Communications (ICC). Budapest: IEEE, 2013: 4148-4153. ［12］YETGINER E, ROUSKAS G N. Power efficient traffic grooming in optical WDM networks［C］∥Global Telecommunications Conference (GLOBECOM). Honolulu: IEEE, 2009: 1-6. ［13］熊余, 董先存, 李圆圆, 等. 软件定义光网络中基于最小点覆盖的控制平面跨层生存性设计［J］. 电子与信息学报, 2016, 38(5): 1211-1218. XIONG Yu, DONG Xiancun, LI Yuanyuan, et al. The cross-layer survivable design of control plane based on minimum point covering in software defined optical network［J］. Journal of Electronics & Information Technology, 2016, 38(5): 1211-1218. ［14］CHEN X L, TORNATORE M, ZHU S L, et al. Flexible availability-aware differentiated protection in software-defined elastic optical networks［J］. Journal of Lightwave Technology, 2015, 33(18): 3872-3882. ［15］MA C, ZHANG J, ZHAO Y L, et al. Bandwidth-adaptability protection with content connectivity against disaster in elastic optical datacenter networks［J］. Photonic Network Communications, 2015, 30(2): 309-320. ［16］LU P, ZHANG L, LIU X H, et al. Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks［J］. IEEE Network, 2015, 29(5): 36-42. ［17］ZHANG S, MUKHERJEE B. Energy-efficient dynamic provisioning for spectrum elastic optical networks［C］∥IEEE International Conference on Communications (ICC). Kolkata: IEEE, 2012: 3031-3035. ［18］LI S, WANG L, LIU B. Prediction of short-term traffic flow based on PSO-optimized chaotic BP neural network［C］∥International Conference on Computer Sciences and Applications. Wuhan: IEEE, 2013: 292-295.

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