With the introduction of network functional virtualization (NFV)

operators can provide more flexible services based on general computing and network platforms. This paper investigates the problem of migration and re-deployment of service function chain (SFC) in NFV based operator network. Firstly

this paper analyzes the problem of resource under-utilization and load unbalance in the operator network caused by the dynamic of the flow. Then

based on the consideration of the conditions such as computing resources

network resources and end-to-end restrictions

the mathematical model towards the service delay optimization is formulated

and the NP property of SFC migration and re-deployment problem is proved. Furthermore

a heuristic SFC migration and re-deployment policy is proposed based on genetic algorithm. In-depth experimental result demonstrates that the proposed solution is superior to other solutions in terms of end-to-end delay

the utilization ratio of link bandwidth resource and the utilization ratio of general server by 12.3%

10.9%

and 15.8%. The results further shows that the resource utilization is effectively improved in the case of guaranteeing the quality of service for flow

through the reasonable deployment of operator network resources.