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NfvInsight: A Framework for Automatically Deploying and Benchmarking VNF Chains

文献类型：期刊论文

作者Xu, Tian-Ni3,4; Sun, Hai-Feng3,4; Zhang, Di3,4; Zhou, Xiao-Ming3,4; Sui, Xiu-Feng1; Wang, Sa3,4,5; Huang, Qun2; Bao, Yun-Gang3,4,5
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2022-06-01
卷号37期号:3页码:680-698
ISSN号1000-9000
关键词network function virtualization (NFV) service chain performance bottleneck network stack latency
DOI10.1007/s11390-020-0434-1
英文摘要With the advent of virtualization techniques and software-defined networking (SDN), network function virtualization (NFV) shifts network functions (NFs) from hardware implementations to software appliances, between which exists a performance gap. How to narrow the gap is an essential issue of current NFV research. However, the cumbersomeness of deployment, the water pipe effect of virtual network function (VNF) chains, and the complexity of the system software stack together make it tough to figure out the cause of low performance in the NFV system. To pinpoint the NFV system performance issues, we propose NfvInsight, a framework for automatic deployment and benchmarking VNF chains. Our framework tackles the challenges in NFV performance analysis. The framework components include chain graph generation, automatic deployment, and fine granularity measurement. The design and implementation of each component have their advantages. To the best of our knowledge, we make the first attempt to collect rules forming a knowledge base for generating reasonable chain graphs. NfvInsight deploys the generated chain graphs automatically, which frees the network operators from executing at least 391 lines of bash commands for a single test. To diagnose the performance bottleneck, NfvInsight collects metrics from multiple layers of the software stack. Specifically, we collect the network stack latency distribution ingeniously, introducing only less than 2.2% overhead. We showcase the convenience and usability of NfvInsight in finding bottlenecks for both VNF chains and the underlying system. Leveraging our framework, we find several design flaws of the network stack, which are unsuitable for packet forwarding inside one single server under the NFV circumstance. Our optimization for these flaws gains at most 3x performance improvement.
资助项目National Key Research and Development Program of China[2019YFB1802600] ; National Natural Science Foundation of China[61420106013] ; National Natural Science Foundation of China[61702480] ; National Natural Science Foundation of China[61672499] ; National Natural Science Foundation of China[61802365] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2013073] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2020105] ; Guangdong Province Key Laboratory of Popular High Performance Computers[2017B030314073]
WOS研究方向Computer Science
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000812520400014
源URL[http://119.78.100.204/handle/2XEOYT63/19524]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Bao, Yun-Gang
作者单位1.Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
2.Peking Univ, Dept Comp Sci & Technol, Beijing 100871, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Peng Cheng Lab, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Tian-Ni,Sun, Hai-Feng,Zhang, Di,et al. NfvInsight: A Framework for Automatically Deploying and Benchmarking VNF Chains[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2022,37(3):680-698.
APA Xu, Tian-Ni.,Sun, Hai-Feng.,Zhang, Di.,Zhou, Xiao-Ming.,Sui, Xiu-Feng.,...&Bao, Yun-Gang.(2022).NfvInsight: A Framework for Automatically Deploying and Benchmarking VNF Chains.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,37(3),680-698.
MLA Xu, Tian-Ni,et al."NfvInsight: A Framework for Automatically Deploying and Benchmarking VNF Chains".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 37.3(2022):680-698.

入库方式： OAI收割

来源：计算技术研究所

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