Model-driven performance engineering of self-adaptive systems: a survey
Model-driven performance engineering of self-adaptive systems: a survey
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自适应系统的模型驱动性能工程：调查
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Steffen Becker
中科院分区：
文献类型：
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作者：
Matthias Becker;Markus Luckey;Steffen Becker
为了满足不断变化的环境对服务质量的要求，现代软件系统需要自我调整。这些系统的结构，以及相应的行为，经历着不断的变化。然而，模型驱动的性能工程假定静态的系统结构、行为和部署。因此，自适应系统对模型驱动的性能工程提出了新的挑战。文献中有一些关于自适应系统、性能工程以及两者结合的研究。与现有的工作相比，这里我们关注模型驱动的性能分析方法。在系统文献回顾的基础上，我们提出了分类，确定了开放的问题，并概述了进一步的研究。
To meet quality-of-service requirements in changing environments, modern software systems adapt themselves. The structure, and correspondingly the behavior, of these systems undergoes continuous change. Model-driven performance engineering, however, assumes static system structures, behavior, and deployment. Hence, self-adaptive systems pose new challenges to model-driven performance engineering. There are a few surveys on self-adaptive systems, performance engineering, and the combination of both in the literature. In contrast to existing work, here we focus on model-driven performance analysis approaches. Based on a systematic literature review, we present a classification, identify open issues, and outline further research.
影响因子：
7.4
作者：
Calinescu, Radu;Grunske, Lars;Tamburrelli, Giordano
通讯作者：
Tamburrelli, Giordano