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A NEW ADMISSION CONTROL APPROACH BASED ON PREDICTION
引用本文:LuKaining JinZhigang. A NEW ADMISSION CONTROL APPROACH BASED ON PREDICTION[J]. 电子科学学刊(英文版), 2002, 19(2): 209-214. DOI: 10.1007/s11767-002-0038-7
作者姓名:LuKaining JinZhigang
作者单位:SchoolofElectronicInformationEngineering,TianjinUniversity,Tianjin300072
基金项目:Supported in part by the National Natural Science Foundation of China under grant No.69872025,the Information Office of Tianjin Municipal Government and a Gift from Cisco System
摘    要:Admission control plays an important role in providing QoS to network users.Mo-tivated by the measurement-based admission control algorithm,this letter proposed a new ad-mission control approach for integrated service packet network based on traffic prediction .In the letter ,FARIMA(p,d,q,)models in the admission control algorithm is deployed.A method to simplify the FARIMA model fitting procedure and hence to reduce the time of traffic modeling and prediction is suggested.The feasibility-study experiments show that FARIMA models which have less number of parameters can be used to model and predict actual traffic on quite a large time scale.Simulation results validate the promising approach.

关 键 词:接纳控制 网络用户 服务质量 通信量 预测

A new admission control approach based on prediction
Lu Kaining,Jin Zhigang,Zou Jun. A new admission control approach based on prediction[J]. Journal of Electronics, 2002, 19(2): 209-214. DOI: 10.1007/s11767-002-0038-7
Authors:Lu Kaining  Jin Zhigang  Zou Jun
Affiliation:School of Electronic Information Engineering, Tianjin University, Tianjin 300072
Abstract:Admission control plays an important role in providing QoS to network users. Motivated by the measurement-based admission control algorithm, this letter proposed a new admission control approach for integrated service packet network based on traffic prediction. In the letter, FARIMA(p,d, q) models in the admission control algorithm is deployed. A method to simplify the FARIMA model fitting procedure and hence to reduce the time of traffic modeling and prediction is suggested. The feasibility-study experiments show that FARIMA models which have less number of parameters can be used to model and predict actual traffic on quite a large time scale. Simulation results validate the promising approach.
Keywords:Admission control  Traffic prediction  FARIMA
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