Enabling Fast Packet Processing for NFV via Programmable Hardware Acceleration

LAN Tian-yi; GUO Yun-fei; LAN Ju-long; DUAN Tong

doi:10.3969/j.issn.0372-2112.2017.12.034

您当前的位置：

首页 >

文章列表页 >

Enabling Fast Packet Processing for NFV via Programmable Hardware Acceleration

更新时间：2025-07-16

- Enabling Fast Packet Processing for NFV via Programmable Hardware Acceleration
- Acta Electronica Sinica Vol. 45, Issue 12, Pages: 3076-3080(2017)
- 作者机构：
  
  国家数字交换系统工程技术研究中心,河南,郑州,450002
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2017.12.034
  CLC： TP393
- Published Online：25 December 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
LAN Tian-yi, GUO Yun-fei, LAN Ju-long, et al. Enabling Fast Packet Processing for NFV via Programmable Hardware Acceleration[J]. Acta Electronica Sinica, 2017, 45(12): 3076-3080.
DOI：

LAN Tian-yi, GUO Yun-fei, LAN Ju-long, et al. Enabling Fast Packet Processing for NFV via Programmable Hardware Acceleration[J]. Acta Electronica Sinica, 2017, 45(12): 3076-3080. DOI： 10.3969/j.issn.0372-2112.2017.12.034.

摘要

针对网络功能虚拟化（Network Function Virtualization，NFV）在通用服务器中部署的处理性能受限问题，该文提出了一种基于硬件加速的虚拟网络功能（Virtual Network Function，VNF）处理结构：FARD（Function Adaptive and Resource Dividable hardware structure）.通过可编程的包头解析器和动作处理器，FARD可实现任意L2/3/4层功能实例的硬件加速处理；通过动态可分割的匹配表结构，FARD支持不同功能实例间的资源动态分配和隔离.基于NetFPGA-10G的实验结果表明，对比基于纯软件实现的VNF，FARD加速结构提升了近60倍的包处理吞吐率.

Abstract

To improve the forwarding performance of NFV (Network Function Virtualization) in general server

this paper comes up with a hardware based VNF (Virtual Network Function) packet processing acceleration structure which is called FARD (Function Adaptive and Resource Dividable hardware structure).FARD can implement the hardware acceleration of any function instance on the L2/3/4 layer with programmable parser and action processor.And FARD also supports the dynamic resource allocation and function isolation between different instances with dynamic division on match table.The results based on the NetFPGA-10G platform show that the FARD acceleration structure increases by nearly 60 times in packets processing throughput compared with VNF which is only implemented by software.

关键词

Keywords

references

Views

389

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Programmable Hardware-Based Stateful Network Functions Hardware Acceleration Architecture

GAT-IL: A Service Function Chain Deployment Method Based on Graph Attention Network and Imitation Learning

Fine-Grained Partitioning and Reorganization Deployment Strategy of Edge Video Processing

Design on Data Plane of Programmable Hardware-Based Virtual Router

Online Elastic Orchestration Policy of Service Function Chain Based on Flow Evolution Perception

Related Author

FAN Hong-wei

HAO Jin-long

LI Xiu-hua

WANG Tian-fu

YIN Hao

NIU Yue

FAN Qi-lin

SHI Chang-wei

Related Institution

School of Big Data and Software Engineering, Chongqing University

Beijing National Research Center for Information Science and Technology, Tsinghua University

School of Computer Science and Technology, University of Science and Technology of China

School of Microelectronic and Communication Engineering， Chongqing University

State Grid Chongqing Electric Power Corporation， Electric Power Research Institute

⁰