Survey of Performance Acceleration Techniques for Network Function Virtualization

被引:88
|
作者
Linguaglossa, Leonardo [1 ]
Lange, Stanislav [2 ]
Pontarelli, Salvatore [3 ,4 ]
Retvari, Gabor [5 ]
Rossi, Dario [1 ]
Zinner, Thomas [6 ]
Bifulco, Roberto [7 ]
Jarschel, Michael [8 ]
Bianchi, Giuseppe [9 ]
机构
[1] Telecom ParisTech, F-75013 Paris, France
[2] Univ Wurzburg, Fac Math & Comp Sci, D-97074 Wurzburg, Germany
[3] Axbryd, I-00173 Rome, Italy
[4] Natl Interuniv Consortium Telecommun, I-00133 Rome, Italy
[5] MTA BME Informat Syst Res Grp, H-1117 Budapest, Hungary
[6] Tech Univ Berlin, Dept Telecommun Syst, D-10623 Berlin, Germany
[7] NEC Labs Europe, D-69115 Heidelberg, Germany
[8] Nokia Bell Labs, D-81541 Munich, Germany
[9] Univ Roma Tor Vergata, Natl Interuniv Consortium Telecommun, I-00133 Rome, Italy
关键词
Fast packet processing; network function virtualization (NFV); offloading; performance acceleration; virtualization; CHALLENGES; HARDWARE;
D O I
10.1109/JPROC.2019.2896848
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The ongoing network softwarization trend holds the promise to revolutionize network infrastructures by making them more flexible, reconfigurable, portable, and more adaptive than ever. Still, the migration from hard-coded/hard-wired network functions toward their software-programmable counterparts comes along with the need for tailored optimizations and acceleration techniques so as to avoid or at least mitigate the throughput/latency performance degradation with respect to fixed function network elements. The contribution of this paper is twofold. First, we provide a comprehensive overview of the host-based network function virtualization (NFV) ecosystem, covering a broad range of techniques, from low-level hardware acceleration and bump-in-the-wire offloading approaches to high-level software acceleration solutions, including the virtualization technique itself. Second, we derive guidelines regarding the design, development, and operation of NFV-based deployments that meet the flexibility and scalability requirements of modern communication networks.
引用
收藏
页码:746 / 764
页数:19
相关论文
共 50 条
  • [21] Network Functions Virtualization: A Survey
    Gil, J. J.
    Botero, J. F.
    IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (02) : 983 - 997
  • [22] Fault Diagnosis in the Network Function Virtualization: A Survey, Taxonomy, and Future Directions
    Li, Jiahui
    Qi, Xiaogang
    Li, Jiliang
    Su, Zhou
    Su, Yuan
    Liu, Lifang
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (11): : 19121 - 19142
  • [23] Virtual Networking Performance in OpenStack Platform for Network Function Virtualization
    Callegati, Franco
    Cerroni, Walter
    Contoli, Chiara
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2016, 2016
  • [24] Stochastic Performance Analysis of Network Function Virtualization in Future Internet
    Miao, Wang
    Min, Geyong
    Wu, Yulei
    Huang, Haojun
    Zhao, Zhiwei
    Wang, Haozhe
    Luo, Chunbo
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 37 (03) : 613 - 626
  • [25] ADVANCES IN NETWORK FUNCTION VIRTUALIZATION
    Jun Bi
    Gaogang Xie
    Hongxin Hu
    中国通信, 2018, 15 (10) : 84 - 85
  • [26] ADVANCES IN NETWORK FUNCTION VIRTUALIZATION
    Bi, Jun
    Xie, Gaogang
    Hu, Hongxin
    CHINA COMMUNICATIONS, 2018, 15 (10) : 84 - 85
  • [27] Network Coding Function Virtualization
    Tan Do-Duy
    Vazquez-Castro, M. A.
    2016 IEEE 17TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2016,
  • [28] Network Function Virtualization Introduction
    Joshi, Kaustubh
    Benson, Theophilus
    IEEE INTERNET COMPUTING, 2016, 20 (06) : 7 - 9
  • [29] Modular Network Function Virtualization
    Volpano, Dennis
    2017 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2017, : 922 - 927
  • [30] FPGA virtualization with accelerators overcommitment for Network Function Virtualization
    Paolino, Michele
    Pinneterre, Sebastien
    Raho, Daniel
    2017 INTERNATIONAL CONFERENCE ON RECONFIGURABLE COMPUTING AND FPGAS (RECONFIG), 2017,