Deriving queuing network model for UML for software performance prediction

被引：3

作者：

Youn, Hyunsang ^{[1
]}

Jang, Suhyeon ^{[1
]}

Lee, Eunseok ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Sch Informat & Commun Engn, 300 Chunchun Jangahn, Suwon 400746, South Korea

来源：

SERA 2007: 5TH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT, AND APPLICATIONS, PROCEEDINGS | 2007年

关键词：

UML; software architecture; queuing network model; performance;

D O I：

10.1109/SERA.2007.109

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is an important issue for software architects to estimate the performance of software in the early stage of development process due to the needs to verify QoS. Queueing network model is a very useful tool to analyze the performance of a system from abstract model. In this paper, we propose a transformation technique from UML into queueing network model. This approach avoids the need for a prototype implementation since we can determine the overall form of performance equation from the architectural design description. We prove the accuracy of derived queueing network model, which is summarized at 85 percent, through a ubiquitous commerce system which extends mobile commerce system developed by our prior work.

引用

页码：125 / +

页数：2

共 50 条

[21] QUEUING NETWORK MODEL FOR ESTELLE
DEMBINSKI, P
[J]. IFIP TRANSACTIONS C-COMMUNICATION SYSTEMS, 1993, 10 : 73 - 86
[22] Software performance evaluation based on the UML performance profile
Gu, GP
Petriu, DC
[J]. 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XIII, PROCEEDINGS: SYSTEMICS, CYBERNETICS AND INFORMATICS: TECHNOLOGIES AND APPLICATIONS, 2003, : 249 - 254
[23] Software Defect Prediction Model Research for Network and Cloud Software Development
Yang, Yejuan
[J]. PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING (ICMMCCE 2017), 2017, 141 : 717 - 723
[24] Performance Prediction of Software Defined Network Using an Artificial Neural Network
Sabbeh, Ann
Al-Raweshidy, H. S.
Al-Dunainawi, Yousif
Abbod, Maysam F.
[J]. PROCEEDINGS OF THE 2016 SAI COMPUTING CONFERENCE (SAI), 2016, : 80 - 84
[25] QoE Prediction Model for Multimedia Services in IP Network Applying Queuing Policy
Sevcik, Lukas
Voznak, Miroslav
Frnda, Jaroslav
[J]. INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (SPECTS 2014), 2014, : 593 - 598
[26] Performance Analysis for Multimedia Communication Systems with a Multilayer Queuing Network Model
Tang, Xuehua
Wang, Zhongyuan
Li, Xiaojun
Han, Zhen
He, Zheng
Fu, Youming
[J]. CHINA COMMUNICATIONS, 2018, 15 (08) : 67 - 76
[27] Performance of a queuing model with pareto input traffic for wireless network nodes
Xie, M
Ye, W
Feng, SL
Song, H
[J]. 2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2, 2005, : 867 - 870
[28] Mathematical Performance Evaluation Model for Mobile Network Firewall Based on Queuing
Xuan, Shichang
Man, Dapeng
Zhang, Jiangchuan
Yang, Wu
Yu, Miao
[J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018,
[29] Performance Analysis for Multimedia Communication Systems with a Multilayer Queuing Network Model
Xuehua Tang
Zhongyuan Wang
Xiaojun Li
Zhen Han
Zheng He
Youming Fu
[J]. China Communications, 2018, 15 (08) : 67 - 76
[30] VALIDATION OF A COMPUTER PERFORMANCE-MODEL OF EXPONENTIAL QUEUING NETWORK FAMILY
GIAMMO, T
[J]. ACTA INFORMATICA, 1976, 7 (02) : 137 - 152

← 1 2 3 4 5 →