Abstract
A new credit reservation mechanism is proposed to solve the problem of online charging shared balance allocation of concurrent multi-services in a short time. In the new mechanism, the moving average based slide window algorithm is adopted to allocate the available credit for each service, and the credit allocation granularity is calculated based on the distribution of concurrent multi-service arrival, the validity time of granted credit units and the number of served sessions. An analytical model is developed, in which an appropriate reservation credit unit or the number of concurrent multi-services could be selected for various traffic conditions. The credit reservation mechanism could reduce the amount of signaling and the average interactive times between network elements and online charging systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kurtansky, P., Stiller, B.: Time Interval-Based Prepaid Charging of QoS-enabled IP Services. Internet and Network Economics, pp. 325–335. Springer, Heidelberg (2005)
Lin, Y.B., Gan, C.H., Jeng, J.Y.: Credit allocation for UMTS prepaid service. In: IEEE Transactions on Vehicular Technology, vol. 55(1), pp. 306–316. IEEE Vehicular Technology Society, Piscataway (2006)
Sou, S.I., Hung, H.N., Lin, Y.B., Peng, N.F.: Modeling credit reservation procedure for UMTS online charging system. In: IEEE Transactions on Wireless Communications, vol. 6, pp. 4129–4135. IEEE Communications Society, New York (2007)
Li, X.Y., Kim, B., Cai, Y.G.: Dynamic policy and charging control framework. Bell Labs Tech. J. 17(1), 105–123 (2012)
Li, H.Y., Gao, Y., Zhao, L., Li, Z.W.: Adaptive control of charging system based on online parameters identification. In: International Conference on Telecommunications Energy Conference (INTELEC), pp. 1–6. IEEE, Vancouver (2014)
Huang, H.S., Su, T.C., Liang, J.M., Tseng, Y.C.: A dynamic reservation scheme in online charging system for family shared plan. In: International Conference on Wireless Communications and Networking (WCNC), pp. 2279–2284. IEEE, New Orleans (2015)
Globa, L., Skulysh, M., Zastavenko, A.: The method of resources allocation for processing requests in online charging system. In: International Conference on Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), pp. 211–213. IEEE, Lviv (2015)
Sou, S.I., Tsai, D.R.: Bulk credit reservation in event-based machine type communications for 3GPP online charging. Comput. Netw. 75(1), 75–85 (2014)
Larisa, G., Mariia, S., Andriy, R.: Control strategy of the input stream on the online charging system in peak load moments. In: International Conference on Microwave and Telecommunication Technology (CriMiCo), pp. 312–312. IEEE, Sevastopol (2014)
Kleinrock, L.: Queueing systems, Vol. I: theory. In: Theory Proceedings of the IEEE, vol. 1, pp. 990–991. IEEE Journals & Magazines, New York (2005)
Acknowledgments
This work was supported by the Shandong Province Higher Educational Science & Technology Program J14LN79 and by the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents 2014RCJJ024.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Guo, JQ., Zhang, RY., Wei, GZ., Yang, JL. (2016). Research on a Credit Reservation Mechanism for Concurrent Multi-services. In: Hussain, A. (eds) Electronics, Communications and Networks V. Lecture Notes in Electrical Engineering, vol 382. Springer, Singapore. https://doi.org/10.1007/978-981-10-0740-8_36
Download citation
DOI: https://doi.org/10.1007/978-981-10-0740-8_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0738-5
Online ISBN: 978-981-10-0740-8
eBook Packages: EngineeringEngineering (R0)