Skip to main content
SpringerLink
Log in
Book cover

Asia-Pacific Web Conference

APWeb 2015: Web Technologies and Applications pp 44–53Cite as

GPU-Based Parallel Processing Technology in DPI

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9461))

Abstract

This paper mainly discusses the design, implementation and performance test of GPU-based parallel processing technology in deep packet inspection (DPI) field, which is used for building high-speed network traffic processing applications using low-cost hardware. Meanwhile topics in the paper include principles of GPU parallel computing, and how they’re applied in pattern matching, signature inspection, state inspection, self-learning, multi-classification and some other aspects.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. GPGPU [EB/OL]. http://www.gpgpu.org

  2. NVIDIA CUDA [EB/OL]. http://developer.nvidia.com/object/cuda.html

  3. Liu, C.H., Hon, W.K., Chang, S.C., et al.: PFAC library: GPU-based string matching algorithm (2012)

    Google Scholar 

  4. Hjelmvik, E.: The SPID algorithm-statistical protocol identification. Gävle, Sweden, October 2008

    Google Scholar 

  5. Intel DPDK vSwitch, Getting Started Guide, December 2013

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Guangzhou Research Institute of China Telecom Co. Ltd., Guangzhou, China

    Zhimin Zhong, Yuliang Zhang, Guanglong Yang & Yongping Kong

Authors
  1. Zhimin Zhong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuliang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Guanglong Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yongping Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhimin Zhong .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, Guangdong, China

    Ruichu Cai

  2. Research Institute of China Telecom Co., Guangzhou, China

    Kang Chen

  3. Wuhan University, Wuhan, China

    Liang Hong

  4. Advanced Digital Sciences Center, Singapore, Singapore

    Xiaoyan Yang

  5. East China Normal University, Shanghai, China

    Rong Zhang

  6. Peking University, Beijing, China

    Lei Zou

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhong, Z., Zhang, Y., Yang, G., Kong, Y. (2015). GPU-Based Parallel Processing Technology in DPI. In: Cai, R., Chen, K., Hong, L., Yang, X., Zhang, R., Zou, L. (eds) Web Technologies and Applications. APWeb 2015. Lecture Notes in Computer Science(), vol 9461. Springer, Cham. https://doi.org/10.1007/978-3-319-28121-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-28121-6_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28120-9

  • Online ISBN: 978-3-319-28121-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation