具有共享备份资源的能源效率和可生存网络规划之间的相互作用

S. Jalalinia, C. Cavdar
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引用次数: 2

摘要

骨干网基础设施在考虑备份保护能力的情况下部署冗余资源,以应对链路故障,服务于超大规模的数据传输。这与骨干网的功耗增加有关。本文深入分析了绿色网络设计和流路由机制对不同保护方案的影响,提出了在(I)容量、(II)容量+能源和(III)能源消耗最小化目标下的最优解模型。将两种不同的共享备份保护(SBP)方案(1)SBP-ind(故障无关)和(2)SBP- deep(故障依赖)与专用路径保护(DPP)进行比较。假设只有备份路径使用的网络链路可以进入休眠模式。可以观察到,当能量消耗最小时,SBP的备份分担减小,在极端情况下,其行为与DPP相似。该模型适用于IP流量路由和光路路由。结果表明,对于一个示例网络拓扑,为了节省例如32.33%的功率,容量消耗显着增加,例如在SBP-ind中高达127.53%。为了在电力消耗和容量消耗之间取得良好的折衷,我们提出了一种多目标方法。此外,本研究还提供了在功耗和容量消耗最小化的情况下各种生存机制的完整图景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interplay between energy efficiency and survivable network planning with shared backup resources
Backbone network infrastructures are deployed with redundant resources taking into account the backup capacity for protection in order to be resilient against link failures, serving extremely large amount of data transmission. This goes together with increasing power consumption of backbone networks. In this study the impact of green network design and flow routing mechanisms on different protection schemes is analyzed thoroughly by proposing models to obtain optimum solutions under various objectives: Minimizing consumption of (I) Capacity, (II) Capacity+Energy, and (III) Energy. Two different shared backup protection (SBP) schemes (1) SBP-ind (failure independent) and (2) SBP-dep (failure dependent) are compared with dedicated path protection (DPP). It is assumed that network links utilized by only backup paths can be put into sleep mode. It can be observed that when energy consumption is minimized, the backup sharing decreases in SBP and, in the extreme case, it behaves similar to DPP. The models are generalized and valid for both IP traffic flow routing and lightpath routing. It is shown that for a sample network topology, to save e.g., 32.33% power, capacity consumption increases significantly e.g., in SBP-ind up to 127.53%. In order to achieve a good compromise between power and capacity consumption we propose a multi-objective approach. Moreover this study presents a complete picture of various survivability mechanisms when power consumption is minimized together with the capacity consumption.
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