验证绩效分析方法的实证绩效研究:PSIM

Jinchun Xia, Yujia Ge, Carl K. Chang
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引用次数: 2

摘要

近年来,性能分析得到了研究人员的更多关注,他们将研究重点放在软件开发的早期阶段,以减轻后来出现问题时重新设计的风险。以前我们提出了PSIM(一种性能模拟和建模工具),它将性能属性集成到几个主要UML图中表示的软件体系结构规范中。将PSIM模型转换为彩色GSPN,然后对彩色GSPN模型进行仿真,以进行基于模型的性能评估。在本文中,我们简要回顾了PSIM方法,并将其应用于基于web的会议系统建模,称为M-Net,以获得性能指标。然后,我们对M-Net的实现进行运行时性能测试,并将模拟数据与运行时测试数据进行比较。对比结果表明,PSIM方法在预测系统性能和识别系统性能瓶颈方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An empirical performance study for validating a performance analysis approach: PSIM
Performance analysis gains more attention in recent years by researchers who focus their study on the early software development stages to mitigate the risk of redesign as problems emerge later. Previously we proposed PSIM (a performance simulation and modeling tool) that integrated performance properties into software architecture specifications expressed in several major UML diagrams. PSIM models can be transformed into colored GSPN and the colored GSPN models can then be simulated to perform model-based performance evaluation. In this paper we briefly review the PSIM approach and apply it to model a Web-based conferencing system, called M-Net, to derive performance metrics. We then conduct runtime performance testing to the implementation of M-Net and compare the simulation data to runtime testing data. The comparison results show the effectiveness of the PSIM method in predicting system performance and identifying system performance bottlenecks.
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