Enabling NFV Elasticity Control With Optimized Flow Migration

Abstract

Network function virtualization (NFV) together with software defined networking (SDN) offers the potential for enhancing service delivery flexibility and reducing overall costs. Based on the capability of dynamic creation and destruction of network function (NF) instances, NFV provides great elasticity in NF control, such as NF scaling out, scaling in, and load balancing. To realize NFV elasticity control, network traffic flows need to be redistributed across NF instances. However, deciding which flows are suitable for migration is a critical problem for efficient NFV elasticity control. In this paper, we propose to build an innovative flow migration controller, OFM controller , to achieve optimized flow migration for NFV elasticity control. We identify the trigger conditions and control goals for different situations, and carefully design models and algorithms to address three major challenges including buffer overflow avoidance , migration cost calculation , and effective flow selection for migration . We implement the OFM controller on top of NFV and SDN environments. Our evaluation results show that OFM controller is efficient to support optimized flow migration in NFV elasticity control.