Research And Simulation Of Routing Algorithm In MPLS Traffic Engineering

Evolution of network architecture and broadband technology accelerates the development of the traditional network to the next generation network (NGN), and in the network quality of service (QoS) users'requirements are increasingly high. Therefore, how to provide end - to - end QoS will be the NGN core issues.Multi-Protocol Label Switching is considered to be a backbone network technology of NGN, MPLS implements traffic engineering by establishing explicit routing and label switching path. The target of traffic engineering is to optimize resource utilization and network performance, and to reduce network congestion, realizing traffic engineering in MPLS networks can improve the network quality of service.This paper first introduces major technical components and working principle of MPLS, discusses how to implement traffic engineering using MPLS, then this paper studies router architecture that support MPLS traffic engineering, and discusses the composition of the router module, as well as the relationship between the modules. MPLS routers supporting traffic engineering use routing algorithm to ensure QoS by calculating label switching path, therefore good or bad routing algorithm directly influences the implementation of traffic engineering. This paper analyses and compares a variety of the routing algorithm for traffic engineering, and points out their respective advantages and weaknesses. Based on research of typical algorithms, the Paths Optimal Ordering Algorithm is proposed. The algorithm uses a learning mechanism, first the algorithm can automatically learn from information proposed by a random environment, calculate the best routing priorities, and then determine the best path forward by this, finally, this paper uses NS2, network simulation software, to implement two popular algorithms and the Paths Optimal Ordering Algorithm, compares several algorithms'performance with simulation experiments. The simulation results show that the Paths Optimal Ordering Algorithm can well balance traffic load of the network link, reduce the delay of the data transmission in link, increase the throughput of network, thus optimize the utilization of network resources, and improve the overall performance of network.