Design and Implementation of Service Traffic Awareness System in LTE Network

Article Preview

Abstract:

Based on telecom operators increasingly urgent demand for intelligent pipeline, this paper has proposed a kind of implementing scheme of traffic recognition system in LTE network. Aiming at the traditional monitoring system with poor user perception and insufficient statistical capacity, we achieved a self - learning refining identification system of application layer services, and further analyzed the characteristic of user behavior in mobile network which relying on the traditional monitoring system and applying current prevailing Internet behavior analysis technologies-deep packet inspection (DPI) technique and focused crawler technology.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2902-2905

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Guo, Danhua, Laxmi N. Bhuyan, and Bin Liu. An efficient parallelized L7-filter design for multicore servers., Networking, IEEE/ACM Transactions on20. 5 (2012): 1426-1439.

DOI: 10.1109/tnet.2011.2177858

Google Scholar

[2] 3GPP-LTE[EB/OL]. http: /www. 3gpp. org/technologies/keywords-acronyms/98-lte, China (2014).

Google Scholar

[3] 3GPP. TS 36. 300. v9. 2. 0. 2010. Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; 2010: 19-39.

DOI: 10.3403/bsiso17515

Google Scholar

[4] Chaudhary A, Sardana A. Software based implementation methodologies for deep packet inspection. Information Science and Applications, ICISA 2011, Jeju Island, Korean, (2011).

DOI: 10.1109/icisa.2011.5772430

Google Scholar

[5] Guo L, Wang Y, Yao Q, et al. A fast regular expression matching algorithm for Deep Packet Inspection. Information Theory and Information Security, ICITIS 2010, Beijing, China, (2010).

DOI: 10.1109/icitis.2010.5689510

Google Scholar

[6] Dong, Hai, Farookh Khadeer Hussain, and Elizabeth Chang. Ontology-learning-based focused crawling for online service advertising information discovery and classification. Service-Oriented Computing. Springer Berlin Heidelberg, 2012. 591-598.

DOI: 10.1007/978-3-642-34321-6_44

Google Scholar