Design And Simulated Implementation Of Green Traffic Grooming Algorithm In Spectrum Flexible Optical Network

With the rapid development of Internet, bandwidth demand is booming in a high rate. This not only makes network resource tend to saturation, but also leads to the aggravation of the energy consumption of the network. Therefore, the construction of flexible and large capacity green optical network becomes particularly important. In traditional Wavelength Division Multiplexing (WDM) optical network, allocating network resource in a one-size-fits-all manner, leads to inefficient resource utilization, low flexibility and high power consumption. However, by introducing the orthogonal frequency division multiplexing technology and breaking through the fixed bandwidth spacing restriction between wavelength tunnels, spectrum flexible optical network utilizes spectrum resources efficiently, thus has a wide application prospects. Meanwhile, as one of core technologies constructing green optical network, traffic grooming technology has obtained wide attention, and how to make it used in spectrum flexible optical network becomes a new challenge.This thesis establishes a power consumption model, and describes the problem of green traffic grooming in spectrum flexible optical network. For static traffic, this thesis designs a green traffic grooming Integer Linear Programming (ILP) model conforming to various constraints, which provides a theoretical basis for network planning. For dynamic traffic, on the basis of network node structure and grooming policies, this thesis establishes a new grooming graph model which could fully reflect the power consumption of each equipment and spectrum resource usage in the network. And on this basis the thesis proposes Green Grooming Algorithm (GGA) under two modulation modes. GGA considers the selection of routes along with power consumption or spectrum usage, and chooses different methods to establish connection for different requests according to different grooming strategies. GGA can use the network resource more efficiently, reduce the network power consumption, and establish connections for more requests in the network with less power and less spectrum resource.This thesis develops the simulation and analysis for the proposed algorithms. Simulation results show that, in terms of energy saving and improving network resource utilization, the proposed green traffic grooming ILP model and green traffic grooming heuristic algorithm both reflect good performances. Therefore, it can be used as a valuable reference to build a green spectrum flexible optical network.