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首页> 外文期刊>IEEE Transactions on Communications >Energy Efficiency With Sliceable Multi-Flow Transponders and Elastic Regenerators in Survivable Virtual Optical Networks
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Energy Efficiency With Sliceable Multi-Flow Transponders and Elastic Regenerators in Survivable Virtual Optical Networks

机译:可生存的虚拟光网络中采用切片式多流转发器和弹性再生器的能源效率

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摘要

Due to the accelerated evolution of application services, optical network virtualization simplifies optical-layer resource management and provides flexibility in spectrum resource allocation. However, the energy consumption is one of the great challenges in the virtual optical networks (VONs). This paper focuses on the energy efficiency problem in survivable VONs with the sliceable multi-flow transponders and the elastic regenerators. For each VON, all virtual links provide the dedicated-path protection in the flexible bandwidth optical networks. An integer linear program (ILP) and a minimum unit-energy submatrix (MinEnSub) VON mapping approach are developed to improve the energy efficiency, minimize the power consumption, and reduce the spectrum usage under different line rates. For comparison, a baseline VON mapping approach is introduced. Simulation results show that the ILP model and the proposed MinEnSub VON mapping approach can save power consumption, improve the energy efficiency, and reduce the spectrum usage compared with the baseline VON mapping approach in a 6-node network. As expected, in a 14-node network, simulation results also validate that our proposed MinEnSub VON mapping approach can achieve better performance in terms of power consumption, energy efficiency, number of frequencies, and the number of regenerators.
机译:由于应用服务的加速发展,光网络虚拟化简化了光层资源管理,并在频谱资源分配方面提供了灵活性。但是,能耗是虚拟光网络(VON)的巨大挑战之一。本文着眼于具有可切片多流应答器和弹性再生器的可存活VON的能效问题。对于每个VON,所有虚拟链路均在灵活带宽的光网络中提供专用路径保护。开发了整数线性程序(ILP)和最小单位能量子矩阵(MinEnSub)VON映射方法,以提高能效,最小化功耗并减少不同线路速率下的频谱使用。为了进行比较,引入了基线VON映射方法。仿真结果表明,与6节点网络中的基线VON映射方法相比,ILP模型和拟议的MinEnSub VON映射方法可以节省功耗,提高能效并减少频谱使用。如预期的那样,在一个14节点的网络中,仿真结果还验证了我们提出的MinEnSub VON映射方法可以在功耗,能效,频率数量和再生器数量方面实现更好的性能。

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