Research of dynamic detection approaches for service interactions in intelligent networks

Author

Li, Zhongxia ; Huang, Yulan ; Lu, Weina ; Jianzhong Song

Author_Institution

Dept. of Comput. Eng., ChangChun Posts & Telecommun. Inst., China

fYear

2000

fDate

2000

Firstpage

97

Lastpage

100

Abstract

Based on the distributed inference and decision theory a new dynamic and correlative judgement model was presented for the dynamic detection of service interaction occurring in intelligent networks in this paper. By the use of SIB parameters as judgement conditions, the services can be sorted dynamically. The classification result is that the same kind of services will have higher interaction probability than the different kind of services at the same condition. So the dynamic detection of the service interactions can be realized

Keywords

distributed decision making; inference mechanisms; intelligent networks; SIB parameters; classification result; correlative judgement model; decision theory; distributed inference; dynamic detection approaches; intelligent networks; interaction probability; service interactions; Computer networks; Distributed computing; Inference mechanisms; Intelligent control; Intelligent networks; Logic; Mobile computing; Optical computing; Optical fiber networks; Telecommunication computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on

Conference_Location

Tianjin

Print_ISBN

0-7803-6253-5

Type

conf

DOI

10.1109/APCCAS.2000.913415

Filename

913415