Application of hybrid computing technologies for high-performance distributed NFV systems

Currently, the areas of transmission and distributed processing technology commonly used network functions virtualization (NFV). A key feature of these solutions is that they can use in the Cloud. Modern cloud infrastructure often has the GPGPU-coprocessors for acceleration purposes. There are a number of problems in which it is possible to use hybrid computing technology to speed up the NFV: encryption, pattern matching, media content processing (compression, audio/video processing, etc.). In this paper, we propose a new NFV-GPGPU architecture and provide the results of its study in case of AES network virtualized function acceleration.