Biochemical-Inspired Autonomous Control of Virtualized Network Functions

Abstract

In Network Function Virtualization (NFV), various Virtual Network Functions (VNFs) are placed on general-purpose servers. To efficiently operate the NFV system, the placement of VNFs to servers, resource allocation to each VNF, and flow routes are determined carefully and adaptively to handle environmental fluctuations. Our research group has proposed a construction method of service space in virtualized network system, based on biochemical-inspired tuple space model. In this paper, we apply the method to an NFV system to adaptively configure and control VNFs in a distributed manner. We also describe the implementation design of the proposed method, based on the standardization activities to achieve Service Function Chaining. We finally present an application scenario of the proposed method to confirm the effectiveness of the implementation design of the proposed method.