DocumentCode :
1572809
Title :
Queuing Network Performance Model for Evaluation of CMP-Based VoIP SPS
Author :
Jin, Jiuzhen ; Pang, Jianmin ; Shan, Zheng ; Zhao, Rongcai
Author_Institution :
China Nat. Digital Switching Syst. Eng. & Technol. R&D Center, Beijing
fYear :
2008
Firstpage :
589
Lastpage :
594
Abstract :
In this paper we describe our experience in performance evaluation of CMP-based VoIP SPS (signaling parse system). We also present a performance model of the system using GI/G/m-FCFS multi-class open QNs (queuing networks). And deal with approximate performance analysis of open non-product-form QNs, based on the method of decomposition. Our approach predicts the major performance evaluation parameters of the system under the workloads and also identifies bottlenecks in the system. Performance results are inserted back into the QN model as initial values associated to the relevant model elements. The theoretical estimates are shown to be in excellent consistence with testing results. It shows the effectiveness of the proposed model. This work explores performance issues of CMP-based applications by means of performance modeling. In this way we may get an immediate feedback on the system performances. The use of QN model allows us to achieve better multi-core application performance.
Keywords :
Internet telephony; performance evaluation; queueing theory; telecommunication signalling; CMP-based VoIP SPS performance evaluation; GI/G/m-FCFS multiclass open QN; chip multiprocessors; open nonproduct-form QN; queuing network performance model; signaling parse system; Computer networks; Information science; Performance analysis; Protocols; Signal processing; Software architecture; Software design; Switching systems; Unified modeling language; Web and internet services; CMP; GI/G/m-FCFS open Queuing Network; Performance Evaluation; SPS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-0-7695-3131-1
Type :
conf
DOI :
10.1109/ICIS.2008.17
Filename :
4529881
Link To Document :
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