| Optical transmission technology and network technology are made demands as the multiple, broadband and IP-based development of communication services. Traffic grooming algorithm is the primary factor in the performance of access and QoS as a vital part of optical network technology. It is a meaningful project that designing a traffic grooming algorithm which is suitable for optical network and can promote the performance of access and QoS.To solve the static traffic grooming problems for differentiated services model, the problem is turn to multi-objective optimization problem, the grooming model is established based on the optimization objectives of the construction cost, price of delay and risk for network and the multi-objective optimization for differentially services grooming algorithm is proposed. Grooming ways for services are taken as decision variables, optimal subpopulations and sub-optimal subpopulation are set up, a group of optimal solutions is acquired through the combination of local search and global search. Simulation experiment shows that rate of convergence of optimizing is effective improved, the price of delay and the risk for network is reduced greatly at the expense of little network construction cost under the emphasis on the performance balance of the three optimization objective.To solve the dynamic traffic grooming problems for holding time aware services model, the grooming model is established based on the optimization objectives of the average delay, block rate of services and loss rate of traffic volume and the high-grade prior grooming for holding time aware services algorithm is proposed. Different grooming strategies are adopted for different service requirements, minimizing loss of services algorithm is introduced. The simulation improves that the block of low-grade services is sacrificed to guarantee the access of high-grade services, at the same time, the real-time performance is improved and the loss of traffic volume is decreased sharply. |
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