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A Brief Review on Models for Performance Evaluation in DSS Architecture

机译：DSS体系结构中绩效评估模型的简要回顾

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摘要

Distributed Software Systems (DSS) are used these days by many people in the real time operations and modern enterprise applications. One of the most important and essential attributes of measurements for the quality of service of distributed software is performance. Performance models can be employed at early stages of the software development cycle to characterize the quantitative behavior of software systems. In this research, performance models based on fuzzy logic approach, queuing network approach and Petri net approach have been reviewed briefly. One of the most common ways in performance analysis of distributed software systems is translating the UML diagrams to mathematical modeling languages for the description of distributed systems such as queuing networks or Petri nets. In this paper, some of these approaches are reviewed briefly. Attributes which are used for performance modeling in the literature are mostly machine based. On the other hand, end users and client parameters for performance evaluation are not covered extensively. In this way, future research could be based on developing hybrid models to capture user’s decision variables which make system performance evaluation more user driven.
机译：如今，许多人在实时操作和现代企业应用程序中使用分布式软件系统（DSS）。性能是衡量分布式软件服务质量的最重要和必不可少的属性之一。可以在软件开发周期的早期阶段采用性能模型来表征软件系统的定量行为。本研究简要回顾了基于模糊逻辑方法，排队网络方法和Petri网方法的性能模型。分布式软件系统性能分析中最常见的方法之一是将UML图转换为数学建模语言，以描述诸如排队网络或Petri网之类的分布式系统。在本文中，将简要介绍其中一些方法。文献中用于性能建模的属性大多是基于机器的。另一方面，用于性能评估的最终用户和客户端参数并未广泛涉及。这样，未来的研究可能会基于开发混合模型来捕获用户的决策变量，从而使系统性能评估更受用户驱动。

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