Affiliation:
1. Benxi Power Supply Company
2. Liaoning Electric Power Company Limited
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.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
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.
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.
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.