Research of overload control algorithm fairness based on Parlay

Liu, Zhiliang; Xiu-rong, Qiu

doi:10.1109/iasp.2011.6109125

Cited by 2 publications

(2 citation statements)

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“…The application server is an important part of the next generation electric communication network [2]. As the carrier-class equipment of the next generation electric communication network, application server needs to have effective overload control function [3][4]. Moreover, the end-to-end network traffic is growing exponentially.…”

Section: Introductionmentioning

confidence: 99%

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

Zheng

Liu

Wei

et al. 2013

AMR

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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.

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Section: Introductionmentioning

confidence: 99%

“…Many researches about overload control of the next generation electric communication network have been launched. Liu et al [3] studied the Parlay gateway overload control problem and proposed an overload control algorithm using fair factor. Homayouni et al [4] used the distributed and adaptive window to control the amount of calls.…”

Section: Introductionmentioning

confidence: 99%