Abstract
With the development of the wireless network and mobile Internet service, the bandwidth of wireless network has increased obviously, and the number of wireless network user and data traffic generated by user terminal are steadily on the increase. Development in different economic and social sectors not only require higher network speed but also need low-cost information networks. The market needs a complete set of solutions, which can provide a comprehensive management system for the operation and billing of fine-grained data traffic. In this paper, we focus on the management system of fine-grained data traffic operation, which is support reverse charge and realize the fine-grained data traffic. Therefore, the proposed method can save user’s cost and improve economic efficiency.
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References
Wan, H., Lin, Y., Zhihao, W., Huang, H.: Discovering typed communities in mobile social networks. J. Comput. Sci. Technol. 27(3), 480–491 (2012)
Hou, J., Xu, B., Xu, L., Wang, D., Xu, J.: A testing method for web services composition based on data-flow. Wuhan Univ. J. Nat. Sci. 13(4), 455–460 (2008)
Yan, T., Wang, B.: Grid architecture model of network centric warfare. J. Syst. Eng. Electron. 17(1), 121–125 (2006)
Chen, J., Chen, Z., Wang, Q., Fang, Y.: Spatial database management system of China geological survey extent. J. China Univ. Geosci. 14(3), 250 (2003)
Xiao, Y., Chen, Y.: Effcient distributed skyline queries for mobile applications. J. Comput. Sci. Technol. 25(03), 523–536 (2010)
Jianming, Y., Guoxin, W., Junming, W.: Rebuilding the extrant’s architecture with VPN. J. Southeast Univ. (English Edition), (1), 69–74 (1999)
Acknowledgements
This research is supported by the Natural Science Foundation of Jiangsu Province under Grant BK20160287.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Y., Cheng, Z., Wang, Z., Chen, S., Su, X. (2018). Fine-Grained Data Traffic Management System Based on VPN Technology. In: Jung, J., Kim, P., Choi, K. (eds) Big Data Technologies and Applications. BDTA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-98752-1_3
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DOI: https://doi.org/10.1007/978-3-319-98752-1_3
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