A Simulated Annealing-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

Abstract:

We study the overload control problem of application server in the next generation electric communication network in this paper. We introduce an energy efficiency overload control algorithm based on simulated annealing. Firstly, by considering the overload control and energy efficiency, we construct the relations function between the input rate control and energy efficiency using rate allocation. Then, we construct the optimal overload control model of energy efficiency by regarding this relation function as objective function and overload control as constraint conditions. Thirdly, we use simulated annealing algorithm to solve this model, and then obtain the optimal solution during the iterative process. The simulation results show that our algorithm is feasible and effective.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2637-2640
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2637
• Online since: September 2013
• Authors: Zheng Pang, Gang Liu, Wei Zhe Ma, Fan Bo Meng
• Keywords: Application Serve, Electric Communication, Energy Efficiency, NGN, Overload Control

References

[1] A. Ali. Design and capacity planning of next generation network, in Proc. of International Conference on Communications, Signals and Coding, Amman, Oct. 17-19, 2008, pp.28-34.

[2] D. Jiang., Z. Xu, L. Nie, et al. An approximate approach to end-to-end traffic in communication networks, Chinese Journal of Electronics, Oct. 2012, 21(4): 705-710.

[3] Z. Liu and X. Qiu. Research of overload control algorithm fairness based on parlay, in Proc. of International Conference on Image Analysis and Signal Processing, Hubei, Oct. 21-23, 2011, pp.645-647.

DOI: 10.1109/iasp.2011.6109125

[4] M. Homayouni, M. Jahanbakhsh, et al. Overload control in SIP servers: Evaluation and improvement, in Proc. of International Conference on Telecommunications, Doha, Apr. 4-7, 2011, pp.666-672.

DOI: 10.1109/ictel.2010.5478787

[5] D. Jiang, Z. Xu, Z. Chen, et al. Joint time-frequency sparse estimation of large-scale network traffic, Computer Networks, Oct. 2011, 55(10): 3533-3547.

DOI: 10.1016/j.comnet.2011.06.027

[6] D. Jiang, Z. Xu, H. Xu, et al. An approximation method of origin-destination flow traffic from link load counts, Computers and Electrical Engineering, Nov. 2011, 37(6): 1106-1121.

DOI: 10.1016/j.compeleceng.2011.06.009

[7] J. Mueller, T. Magedanz. Towards a generic application aware network resource control function for next-generation-networks and beyond, in Proc. of ISCIT'11, Gold Coast, Oct. 2-5, 2012, pp.877-882.

DOI: 10.1109/iscit.2012.6381026

[8] J. Liao, J. Wang, T. Li, et al. A distributed end-to-end overload control mechanism for networks of SIP servers, Computer Networks, 2012, 56(12): 1472-1483.

DOI: 10.1016/j.comnet.2012.04.024

[9] P. Gupta, R. Rajakumar, C. Kumar. Energy impact of signaling protocols in 3Gpp-LTE and guidelines for savings, in Proc. of 2012 Annual IEEE India Conference (INDICON'12), Kochi, Dec. 7-9, 2012, pp.126-130.

DOI: 10.1109/indcon.2012.6420601

[10] P. Chiu, K. Lee. A simulated annealing algorithm for general threshold visual cryptography schemes, IEEE Transactions on Information Forensics and Security, 2011, 6(3): 992-1001.

DOI: 10.1109/tifs.2011.2157144

[11] W. Wu, F. Yang, et al. The study on overload control of application server in next-generation networks, in Proc. of International Conference on Communication Technology, Beijing, Apr. 9-11, 2003, pp.1429-1432.

DOI: 10.1109/icct.2003.1209795