TY - GEN
T1 - When NFV meets ANN
T2 - 27th IEEE International Conference on Network Protocols, ICNP 2019
AU - Zhang, Menghao
AU - Bai, Jiasong
AU - Li, Guanyu
AU - Meng, Zili
AU - Li, Hongda
AU - Hu, Hongxin
AU - Xu, Mingwei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Network Function Virtualization (NFV) provides middleboxes with substantial elasticity from a system level, and Artificial Neural Network (ANN) empowers middleboxes with great intelligence from an algorithm-level perspective. However, when ANN-based Network Functions (NFs) want to take advantage of the elasticity of NFV, our study finds that huge gaps exist between the existing approaches and the ideal goals for the elasticity control of ANN-based NFs. By revealing the key differences between ANN-based NFs and traditional NFs, we propose LEGO, an innovative framework that provides systematic mechanisms for traffic splitting, instance partition and runtime management to enable correct and efficient scaling of ANN-based NFs. Preliminary implementation and evaluation demonstrate the feasibility and effectiveness of the LEGO system. The major purpose of this paper is to highlight these challenges and sketch out a new roadmap towards ANN-based NFV paradigm.
AB - Network Function Virtualization (NFV) provides middleboxes with substantial elasticity from a system level, and Artificial Neural Network (ANN) empowers middleboxes with great intelligence from an algorithm-level perspective. However, when ANN-based Network Functions (NFs) want to take advantage of the elasticity of NFV, our study finds that huge gaps exist between the existing approaches and the ideal goals for the elasticity control of ANN-based NFs. By revealing the key differences between ANN-based NFs and traditional NFs, we propose LEGO, an innovative framework that provides systematic mechanisms for traffic splitting, instance partition and runtime management to enable correct and efficient scaling of ANN-based NFs. Preliminary implementation and evaluation demonstrate the feasibility and effectiveness of the LEGO system. The major purpose of this paper is to highlight these challenges and sketch out a new roadmap towards ANN-based NFV paradigm.
UR - https://www.scopus.com/pages/publications/85074984130
U2 - 10.1109/ICNP.2019.8888133
DO - 10.1109/ICNP.2019.8888133
M3 - Conference contribution
AN - SCOPUS:85074984130
T3 - Proceedings - International Conference on Network Protocols, ICNP
BT - 27th IEEE International Conference on Network Protocols, ICNP 2019
PB - IEEE Computer Society
Y2 - 7 October 2019 through 10 October 2019
ER -