Research On Service Function Chain Deployment And Optimization Technology Based On SDNFV

It is too difficult for existing network to meet the needs of new services and new business.As an important form to carry network and service,service function chain gradually shows a lot of problems.With the rise of new technologies such as software-defined networking(SDN)and network functions virtualization(NFV),the service function chain based on SDNFV framework is highly flexible and recoverable and can better meet the requirements of new network services and new business.Supported by the National Basic Research Program of China(2012CB315901)? “Research on the Architecture of the Reconfigurable Fundamental Information Communication Network”,the dissertation studies the deployment and optimization of service function chain based on SDNFV to promote the innovation of network services.Firstly,according to the network topology constraints,a service function chain deployment method is put forward to Maximize the nodes' utility.Secondly,when the service requests and the traffic are changing,the service function chain is reconstructed to achieve the goal of resource balance to carry more business traffic;Finally,when the business requests and traffic are relatively fixed,backup virtual network functions to improve the reliability of the service function chain;the main research points are as follows:1.A construction method was proposed based on utility maximization of the optimal nodes to deploy and steer virtual middleboxes at the meantime.Firstly,the problem that service function chain construction brought was given in detail and a new service function chain construction mechanism was designed with NFV and SDN technology.Secondly,the constraints of the problem were modeled,and the node selection and utility model were established.Finally,the model was solved by Tabu search-combined simulated annealing algorithm.The simulation results showed that this algorithm was superior to the traditional algorithm in construction time,success rate and network congestion rate at the same time.The method of service function chain construction in this paper improved the utility of nodes by about 18%.2.A virtual network function migration strategy based on resource balance maximization was proposed to realize maximal utility of the network resource.First of all,this paper modeled the problem as a resource utility maximization problem according to the different requirements of different vnfs for the resources.Secondly,the Upper Confidence Tree algorithm based on maximum value was designed to solve this model.Finally,the simulation results showed the effectiveness and reliability of the proposed strategy.The results showed that our method can improve the balance rate of the server resources and at least increase 35% in VNF instance deployment compared to other methods.3.A maximized resource utilization backup algorithm of virtual network function was put forward to improve the network reliability.First,the backup problem of virtual network functions was analyzed in detail and a reliability evaluation model was established,then a corresponding backup mechanism was put forward and its advantages were proved.Secondly,a global backup method and a backup selection strategy were designed to select the corresponding virtual network functions until reliability requirements were met.Finally,simulation and experiments showed that this method achieved excellent performance in terms of reliability and resource utilization,and it especially improved the rate of request acceptance by about 18.8% and the resource utilization ratio by about 20% compared with other backup methods.The experiment results showed that the method can effectively utilize the resources to maximize the network reliability.