On the Energy Efficiency of Physical Topology Design for IP Over WDM Networks

On the Energy Efficiency of Physical Topology Design for IP Over WDM Networks
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DOI:
10.1109/jlt.2012.2186557
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发表时间:
2012-06
影响因子:
4.7
通讯作者:
Xiao-Sheng Dong;T. El-Gorashi;J. Elmirghani
Xiao-Sheng Dong;T. El-Gorashi;J. Elmirghani
中科院分区:
工程技术2区
文献类型:
--
作者:
Xiao-Sheng Dong;T. El-Gorashi;J. Elmirghani

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由于互联网的覆盖范围和容量的扩大,信息和通信技术网络的能源消耗正在迅速增加。在本文中,我们研究了波分复用(WDM)网络上主干网IP的节能物理拓扑。我们开发了一个混合整数线性规划模型,以优化WDM网络上IP的物理拓扑,目标是使网络总功耗最小。我们考虑了美国国家科学基金会网络拓扑,并将其能耗与不同IP over WDM方法和节点度约束下优化物理拓扑的能耗进行了比较。研究了对称全网格连接流量矩阵和非对称流量需求下数据中心在网络中创建热节点场景下的物理拓扑优化问题。我们还研究了通过部署不需要IP路由器的拓扑(包括全网状拓扑和星形拓扑)所获得的功耗节省。仿真结果表明,全网格和星形拓扑分别节省了95%和92%的功耗。此外,考虑可再生能源在网络中的存在,研究了物理拓扑的优化。结果表明,优化物理拓扑结构可以提高可再生能源的利用率。
The energy consumption of information and communications technology networks is increasing rapidly as a result of the Internet expansion in reach and capacity. In this paper, we investigate energy-efficient physical topologies for backbone IP over wavelength-division multiplexing (WDM) networks. We develop a mixed integer linear programming model to optimize the physical topology of IP over WDM networks with the objective of minimizing the network total power consumption. We consider the National Science Foundation network topology and compare its energy consumption with the energy consumption of optimized physical topologies under different IP over WDM approaches and nodal degree constraints. We study the physical topology optimization under a symmetric full-mesh connectivity traffic matrix and an asymmetric traffic demand, where data centers create a hot node scenario in the network. We also investigate the power savings obtained by deploying topologies that eliminate the need for IP routers, including a full-mesh topology and a star topology. Simulation results show that the full-mesh and star topologies result in significant power savings of 95% and 92%, respectively. Furthermore, the optimization of the physical topology is investigated considering the presence of renewable energy sources in the network. The results show that optimizing the physical topology increases the utilization of the renewable energy sources.