DocumentCode
2489766
Title
Performance modeling and evaluation using Queuing Petri Nets in IMS
Author
Luo, An´an ; Lin, Chuang ; Wang, Kai ; Ren, Fengyuan ; Miao, Limin
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2009
fDate
26-28 Aug. 2009
Firstpage
1
Lastpage
5
Abstract
IP multimedia subsystem (IMS) is considered as the main solution for the next generation multimedia rich communication. The hotspot topic of IMS has motivated many researches on the performance modeling and analysis based on SIP. In order to analyze expected performance characteristics of IMS more precisely, we proposed our novel work which is the first study to accurately describe SIP signaling in IMS using queuing Petri nets(QPN), performance results indicate us to find system bottleneck and increase system handling ability in practices. Further more, we got expected performance matrix under different security mechanisms and algorithms, which helps us provide individual services to diverse users and applications for a better tradeoff between security requirements and system performance in IMS.
Keywords
IP networks; Petri nets; computer network performance evaluation; multimedia communication; queueing theory; signalling protocols; telecommunication security; IMS; IP multimedia subsystem; QPN; SIP signaling; next generation multimedia rich communication; performance evaluation; performance matrix; performance modeling; queuing Petri net; security mechanism; Access protocols; Communication system control; Communication system security; Multimedia communication; Multimedia systems; Performance analysis; Petri nets; Power system modeling; Power system security; System performance; IMS; Queuing Petri Nets; SIP; Security;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2009. ChinaCOM 2009. Fourth International Conference on
Conference_Location
Xian
Print_ISBN
978-1-4244-4337-6
Electronic_ISBN
978-1-4244-4337-6
Type
conf
DOI
10.1109/CHINACOM.2009.5339817
Filename
5339817
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