F. Musumeci, Ali Hmaity, M. Tornatore, A. Pattavina
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引用次数: 4
摘要
在过去的十年里,互联网的持续发展使得全球电信网络消耗的能源总量达到了前所未有的增长。在这种情况下,波分复用网络除了提供高传输容量方面的好处外,还被认为是在核心传输网络中实现大量节能的有效解决方案,这是我们工作的重点。电信运营商面临的一个关键问题是网络对故障的恢复能力。在发放网络容量时,运营商需要预留额外的(备份)资源,以备当前使用的(即工作的)资源出现故障时使用。但是,备份网络资源在不使用时不需要上电。实际上,一些网络服务在连接恢复时间方面可能有较宽松的要求,并且可以将它们置于低功耗休眠(即空闲)状态以节省能源。此外,根据需要向用户保证的具体QoS (Quality of Service),可以针对不同的需求实施不同级别的保护(即专用/共享)甚至不保护,从而进一步降低能耗。本文为弹性光核心网的功耗最小化设计提供了一个整数线性规划公式,以研究采用三种功耗降低策略所获得的功耗节省:i)将保护设备设置为低功耗休眠状态,ii)根据所需的QoS区分为流量需求提供的保护级别,以及iii)根据实际的每小时流量变化概况调整设备(即发送/接收设备)的使用情况。我们发现,在高峰时段可以节省高达25%的电力,而在非高峰时段,这一优势可以增加到63%。考虑到全天的能源消耗,可以节省高达44%的能源。
Energy efficiency in reliable optical core networks
The continuous growth of the Internet in the last decade has contributed to an unprecedented increase of the total amount of energy consumed by telecommunication networks worldwide. In this context, Wavelengths Division Multiplexed networks, besides providing benefits in terms of high transport capacity, have been recognized as an effective solution to achieve substantial power savings in core transport networks, which are the focus of our work. One critical issue for telecom operators is network resilience to failures. When provisioning network capacity, operators need to reserve additional (backup) resources, to be used in case of failures of currently used (i.e., working) resources. However, backup network resources do not need necessarily to be powered-on when not used. In fact some network services may have looser requirements in terms of connection recovery time, and they can be put into a low-power sleep (i.e., idle) state in order to save energy. Furthermore, according to the specific Quality of Service (QoS) to be guaranteed to the users, a different level of protection (i.e., dedicated/shared) or even no protection can be implemented for different demands, so energy consumption can be further reduced. In this paper, we provide an Integer Linear Program formulation for the power-minimized design of resilient optical core networks to investigate on the power saving obtained by enabling three power-reduction strategies: i) setting protection devices into low-power sleep state, ii) differentiating the level of protection provided to traffic demands according to their required QoS, and iii) adapting the devices (i.e. transmitting/receiving equipment) usage to a realistic hourly traffic variation profile. We find that up to 25% of power savings can be obtained in case of peak-hour traffic, while this advantage increases up to 63% during off-peak hours. Considering the energy consumption over a whole day, up to 44% of energy savings can be achieved.