Using quality of service bounds for effective multi-objective software architecture optimization

Qais Noorshams, Annelies Martens, Ralf H. Reussner
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引用次数: 12

Abstract

Quantitative prediction of non-functional properties, such as performance, reliability, and cost, of software architectures supports systematic software engineering. Even though there usually is a rough idea on bounds for quality of service, the exact required values may be unclear and subject to tradeoffs. Designing architectures that exhibit such good tradeoff between multiple quality attributes is hard. Even with a given functional design, many degrees of freedom in the software architecture (e.g. component deployment or server configuration) span a large design space. Automated approaches search the design space with multi-objective meta-heuristics such as evolutionary algorithms. However, as quality prediction for a single architecture is computationally expensive, these approaches are time consuming. In this work, we enhance an automated improvement approach to take into account bounds for quality of service in order to focus the search on interesting regions of the objective space, while still allowing trade-offs after the search. To validate our approach, we applied it to an architecture model of a component-based business information system. We compared the search to an unbounded search by running the optimization 8 times, each investigating around 800 candidates. The approach decreases the time needed to find good solutions in the interesting regions of the objective space by more than 35% on average.
利用服务质量边界进行有效的多目标软件体系结构优化
对软件架构的非功能属性(如性能、可靠性和成本)的定量预测支持系统软件工程。尽管通常对服务质量的界限有一个粗略的概念,但所需的确切值可能不清楚,并且需要权衡。设计在多个质量属性之间表现出如此良好权衡的体系结构是困难的。即使在给定的功能设计中,软件体系结构中的许多自由度(例如组件部署或服务器配置)也跨越了很大的设计空间。自动化方法使用多目标元启发式方法(如进化算法)搜索设计空间。然而,由于单个体系结构的质量预测在计算上非常昂贵,因此这些方法非常耗时。在这项工作中,我们增强了一种考虑服务质量界限的自动化改进方法,以便将搜索集中在目标空间的有趣区域上,同时仍然允许在搜索之后进行权衡。为了验证我们的方法,我们将其应用于基于组件的业务信息系统的体系结构模型。我们通过运行优化8次将搜索与无界搜索进行比较,每次搜索大约800个候选对象。该方法将在目标空间的感兴趣区域找到好的解所需的时间平均减少了35%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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