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Energy-Efficient QoT-Guaranteed Routing in Translucent Optical Networks.

机译:半透明光网络中的高能效QoT保证路由。

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摘要

Optical technologies based on Wavelength-Division Multiplexing (WDM) in the backbone of the Internet are becoming the dominant technology. Previously, limited wavelength resources were the primary obstacle in optical networks. However, as networks improved in terms of service rate and link reach, energy consumption and Quality of Transmission (QoT) have replaced the prior issue of wavelength insufficiency. Therefore, in this study, we investigate energy-efficient QoT-guaranteed routing for static traffic in translucent optical networks. The proposed routing algorithm decreases the energy consumption in the network when the network is not heavily loaded, and there is sufficient number of optical-electrical-optical (OEO) converters, which regenerate the optical signals that have accumulated impairments during propagation. Also, it satisfies the QoT of the accepted requests while having a reasonable probability of blocking. The proposed algorithm reduces the energy consumption by considering power consumption as the cost of links in Dijkstra's algorithm. Afterwards, it allocates OEO convertors to combat the physical impairments of low quality connections and decreases the probability of blocking. Our algorithm ignores physical impairments in selecting the paths, and it only allocates OEO convertors in case it is really necessary. The results of the simulation of our algorithms are compared with two other routing algorithms to benchmark their performance.
机译:互联网骨干网中基于波分复用(WDM)的光学技术正在成为主导技术。以前,有限的波长资源是光网络的主要障碍。但是,随着网络在服务速率和链路范围方面的改善,能量消耗和传输质量(QoT)已取代了波长不足的现有问题。因此,在这项研究中,我们研究了半透明光网络中为静态流量提供高能效QoT保证的路由。当网络负载不重时,提出的路由算法减少了网络中的能源消耗,并且有足够数量的光电(OEO)转换器,可再生在传播过程中积累了损伤的光信号。而且,它在具有合理的阻塞可能性的同时满足了接受请求的QoT。该算法通过将功耗作为Dijkstra算法中的链接成本来降低能耗。此后,它分配了OEO转换器以应对低质量连接的物理损害,并降低了阻塞的可能性。我们的算法在选择路径时会忽略物理障碍,并且仅在确实需要时分配OEO转换器。将我们算法的仿真结果与其他两种路由算法进行比较,以对它们的性能进行基准测试。

著录项

  • 作者

    Keyvan Saeid, Peyman.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2012
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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