Abstract
Network function virtualization (NFV) provides several types of network functions by implementing virtual network function (VNF) on a server. In a service chain that utilizes some VNFs, the number of VNF instances and route selection have to be managed for the service chain dynamically according to the amount of traffic. In this paper, we propose an optimal VNF placement and route selection with model predictive control (MPC) for multiple service chains. The proposed method utilizes the predicted amount of injected traffic for each service chain to decide the optimal number of VNF instances. In addition, this method decides the optimal route for each service chain. These processes are performed by using MPC appropriately. We evaluate the performance of the proposed method with simulation and investigate the effectiveness of the proposed method.
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