Goal-Driven Adaptation of Service-Based Systems from Runtime Monitoring Data
Goal-Driven Adaptation of Service-Based Systems from Runtime Monitoring Data
复制标题
基于运行时监控数据的基于服务的系统的目标驱动适应
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
J. Pimentel
中科院分区：
文献类型：
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作者：
Xavier Franch;P. Grünbacher;Marc Oriol;Benedikt Burgstaller;Deepak Dhungana;Lidia López;Jordi Marco;J. Pimentel
基于服务的系统需要提供灵活性，以适应来自多个、经常冲突的、短暂的和未知的涉众的不断发展的需求，以及它们的组件服务的运行时行为的变化。面向目标的模型允许表示系统的需求，同时保持关于替代方案的信息。我们提出了MAESoS的方法，它使用i* 图，以确定服务的服务质量要求。提取备选方案并保存在可变性模型中。监视基础设施识别运行时行为中的变化，这些变化可以传播到涉众目标的级别，并触发所需的调整。我们用一个使用场景来说明这种方法。
Service-based systems need to provide flexibility to adapt both to evolving requirements from multiple, often conflicting, ephemeral and unknown stakeholders, as well as to changes in the runtime behavior of their component services. Goal-oriented models allow representing the requirements of the system whilst keeping information about alternatives. We present the MAESoS approach which uses i* diagrams to identify quality of service requirements over services. The alternatives are extracted and kept in a variability model. A monitoring infrastructure identifies changes in runtime behavior that can propagate up to the level of stakeholder goals and trigger the required adaptations. We illustrate the approach with a scenario of use.