Dynamic hybrid grooming based on power efficiency in green IP over WDM networks

  • Authors:
  • Weigang Hou;Lei Guo;Xiaoxue Gong;Yejun Liu

  • Affiliations:
  • College of Information Science and Engineering, Northeastern University, Shenyang, China 110004;College of Information Science and Engineering, Northeastern University, Shenyang, China 110004;College of Information Science and Engineering, Northeastern University, Shenyang, China 110004;College of Information Science and Engineering, Northeastern University, Shenyang, China 110004

  • Venue:
  • Photonic Network Communications
  • Year:
  • 2012

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Abstract

Due to the rapid growth of various applications, the network devices scale and complexity are significantly increased. Meanwhile, to deal with the burst IP traffic, the network devices need to provide continuous services, which will result in the excessive power consumption. Meanwhile, with the development of IP network and intelligent optical switch network, the backbone network tends to be an IP over wavelength-division-multiplexing (WDM) network. Therefore, it has attracted wide interests in both academic and industrial communities to build power-efficient (i.e., green) IP over WDM network, where we can switch several IP-level requests as one unit in the WDM optical layer. This method is called hybrid grooming and it requires less component power than that of electronic IP routers in the IP layer. Under this hybrid approach, the traffic grooming multiplexes many IP-level requests into a high-capacity lightpath; meanwhile the reduction in power consumed by optical-electrical-optical conversions is achieved through optical bypass. However, the power consumed by components used to establish lightpaths should also be considered. One network with the higher power efficiency not only saves more power followed by hybrid grooming but also requires the lower power consumption of establishing lightpaths. In this paper, to improve the power efficiency of dynamic IP over WDM network, we design two kinds of Wavelength Integrated Auxiliary Graphs (WIAGs), each of which contains one Virtual Topology Layer and multiple Wavelength-Plane Layers. Based on WIAGs, we propose two heuristic algorithms named single-hop grooming with considering power efficiency and multi-hop grooming with considering power efficiency (MGPE) since grooming is NP-hard. Simulation results demonstrate that MGPE obtains the higher power efficiency, although it has the slightly higher time complexity; the power efficiency mainly depends on the kind of grooming strategy (single- or multi-hop) we use while the increasing number of available transceivers in each node cannot improve the power efficiency, although it can make blocking probability decrease.