Paving the Way for NFV Acceleration

Author:

Fei Xincai1,Liu Fangming1ORCID,Zhang Qixia1,Jin Hai1,Hu Hongxin2

Affiliation:

1. National Engineering Research Center for Big Data Technology and System, Key Laboratory of Services Computing Technology and System, Ministry of Education, School of Computer Science and Technology, Huazhong University of Science and Technology, China

2. Clemson University, USA

Abstract

As a recent innovation, network functions virtualization (NFV)—with its core concept of replacing hardware middleboxes with software network functions (NFs) implemented in commodity servers—promises cost savings and flexibility benefits. However, transitioning NFs from special-purpose hardware to commodity servers has turned out to be more challenging than expected, as it inevitably incurs performance penalties due to bottlenecks in both software and hardware. To achieve performance comparable to hardware middleboxes, there is a strong demand for a speedup in NF processing, which plays a crucial role in the success of NFV. In this article, we study the performance challenges that exist in general-purpose servers and simultaneously summarize the typical performance bottlenecks in NFV. Through reviewing the progress in the field of NFV acceleration , we present a new taxonomy of the state-of-the-art efforts according to various acceleration approaches. We discuss the surveyed works and identify the respective advantages and disadvantages in each category. We then discuss the products, solutions, and projects emerged in industry. We also present a gap analysis to improve current solutions and highlight promising research trends that can be explored in the future.

Funder

National Key Research & Development (R&D) Plan

NSFC

Fundamental Research Funds for the Central Universities

National Program for Support of Top-notch Young Professionals in National Program for Special Support of Eminent Professionals

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference149 articles.

1. 6WIND. 2019. Data Plane Acceleration. Retrieved from https://www.6wind.com/products/solutions/data-plane-acceleration/. 6WIND. 2019. Data Plane Acceleration. Retrieved from https://www.6wind.com/products/solutions/data-plane-acceleration/.

2. Network function virtualization in 5G

3. RTNF: Predictable Latency for Network Function Virtualization

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3