Energy savings in dynamic and resilient optical networks based on traffic-aware strategies

Ioan Turus, A. M. Fagertun, L. Dittmann, A. Morea, D. Verchère, J. Kleist
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引用次数: 2

Abstract

An analysis of the energy savings is presented when taking into account a complete traffic model for a one-year time period. Daily and weekly traffic fluctuations as well as yearly traffic growth are considered when analyzing the power consumption. Low power mode in optoelectronic devices (sleep-mode and rate adaptive capabilities) is implemented within a traffic-aware networking approach. The impact of dedicated 1:1 protection in a dynamic network scenario is considered and a comparison is made with the unprotected case. A GMPLS control plane is implemented and used to re-configure the power-adaptive devices and connections. Results show that symbol-rate adaptation provides high savings for unprotected scenarios (37% energy savings w.r.t. unprotected Baseline), while for the protected scenarios better results are obtained for modulation format adaptation which includes sleep-mode (57.1% energy savings w.r.t. protected Baseline). Moreover, compared to the Baseline scenarios the Mixed adaptation, combining both symbol-rate and modulation format, is the most power-efficient strategy providing 39% energy savings for unprotected scenario and 70% energy savings for dedicated protection scenario.
基于流量感知策略的动态弹性光网络节能研究
当考虑到一个完整的交通模型为一年的时间周期时,提出了能源节约的分析。在分析功耗时,考虑了日、周流量波动以及年流量增长。光电器件中的低功耗模式(睡眠模式和速率自适应能力)是在流量感知网络方法中实现的。考虑了动态网络场景下专用1:1保护的影响,并与未保护的情况进行了比较。实现GMPLS控制平面,用于重新配置功率自适应设备和连接。结果表明,符号率自适应在无保护场景下节能效果显著(与无保护基线相比节能37%),而包含睡眠模式的调制格式自适应在受保护场景下节能效果更好(与保护基线相比节能57.1%)。此外,与基线场景相比,结合符号速率和调制格式的混合自适应是最节能的策略,在未受保护的场景下节能39%,在专用保护场景下节能70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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