Skip to main content

Advertisement

Springer Nature Link
Log in

RETRACTED ARTICLE: Data Analysis and Processing of Massive Network Traffic Based on Cloud Computing and Research on Its Key Algorithms

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

This article was retracted on 13 December 2022

This article has been updated

Abstract

In the website classification system, the traffic data is collected by the network traffic monitoring device deployed on the mobile Internet backbone nodes in the provinces independently developed by laboratories. The device can collect the network traffic for a long time and uninterrupted. The mobile Internet web site classification system based on Hadoop cloud computing is introduced in detail. Using this system, the distributed classification of the traffic data of the mobile Internet site can be realized, and the time of the flow classification of the mass mobile Internet sites is reduced. The mobile Internet web site classification system based on Hadoop cloud computing has high performance.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
€32.70 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (France)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Change history

References

  1. Bojanova, I., Zhang, J., & Voas, J. (2013). Cloud computing. It Professional,15(2), 12–14.

    Article  Google Scholar 

  2. Nist, S. P. (2015). A NIST definition of cloud computing. Communications of the ACM,53(6), 50.

    Google Scholar 

  3. Botta, A., Donato, W. D., & Persico, V. (2016). Integration of Cloud computing and Internet of Things. Future Generation Computer Systems,56(C), 684–700.

    Article  Google Scholar 

  4. Sen, J. (2016). Security and privacy issues in cloud computing. International Journal of Grid & Distributed Computing,7(s1–6), 238–252.

    Google Scholar 

  5. Garg, S. K., Buyya, R., et al. (2013). A framework for ranking of cloud computing services. Future Generation Computer Systems,29(4), 1012–1023.

    Article  Google Scholar 

  6. Shi, J., Li, H., & Zhou, L. (2013). The technical security issues in cloud computing. International Journal of Information and Communication Technology,5(3–4), 109–116.

    Google Scholar 

  7. Hashizume, K., Rosado, D. G., Fernández-Medina, E., et al. (2013). An analysis of security issues for cloud computing. Journal of Internet Services & Applications,4(1), 5.

    Article  Google Scholar 

  8. Li, J., Wang, Q., Wang, C., et al. (2014). Fuzzy Keyword Search over Encrypted Data in Cloud Computing. International Journal of Engineering Research and Applications,4(7), 1–5.

    Google Scholar 

  9. Hashem, I. A. T., Yaqoob, I., Anuar, N. B., et al. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems,47(C), 98–115.

    Article  Google Scholar 

  10. Yang, K., & Jia, X. (2013). An Efficient and Secure Dynamic Auditing Protocol for Data Storage in Cloud Computing. IEEE Transactions on Parallel and Distributed Systems,24(9), 1717–1726.

    Article  Google Scholar 

  11. Xiao, Z., & Xiao, Y. (2013). Security and Privacy in Cloud Computing. IEEE Communications Surveys & Tutorials,15(2), 843–859.

    Article  Google Scholar 

  12. Khan, A. N., Kiah, M. L. M., Khan, S. U., et al. (2013). Towards secure mobile cloud computing: A survey. Future Generation Computer Systems,29(5), 1278–1299.

    Article  Google Scholar 

  13. O’Driscoll, A., Daugelaite, J., & Sleator, R. D. (2013). ‘Big data’, Hadoop and cloud computing in genomics. Journal of Biomedical Informatics,46(5), 774–781.

    Article  MATH  Google Scholar 

  14. Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management,33(5), 861–874.

    Article  Google Scholar 

  15. Melorose, J., Perroy, R., & Careas, S. (2015). Hadoop definitive guide. O’reilly Media Inc Gravenstein Highway North,215(11), 1–4.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sichuan Vocational College of Judicial Police, Deyang, 618000, Sichuan, China

    Ying Zou

Authors
  1. Ying Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ying Zou.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zou, Y. RETRACTED ARTICLE: Data Analysis and Processing of Massive Network Traffic Based on Cloud Computing and Research on Its Key Algorithms. Wireless Pers Commun 102, 3159–3170 (2018). https://doi.org/10.1007/s11277-018-5334-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5334-0

Keywords

Search

Navigation