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Evolving self-adaptive services using planning-based reflective middleware

机译:使用基于计划的反射中间件不断发展的自适应服务

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Self-adaptive systems often use a middleware-based approach where adaptation mechanisms and policies are separated and externalized from the application code. Such separation facilitates the independent analysis of application and adaptation. In the QuA middle-ware, we use mirror-based reflection and service planning to support the development and execution of self-adaptive systems. A mirror provides meta information about a service's behavior and implementation throughout all life-cycle phases, including its performance in different contexts. Service planning supports dynamic discovery, utility-based and context-aware evaluation, and selection of alternative implementations of a given service.Here we argue that the QuA middleware is also able to support certain forms of evolution of adaptive systems. Since in QuA new implementation alternatives or updated versions of software are automatically discovered and considered during service planning, evolution both during run time and load time is supported. Experimental results from evolving a state-of-the-art adaptive media streaming application using our middleware are also presented.
机译:自适应系统通常使用基于中间件的方法,其中将适应机制和策略与应用程序代码分离并外部化。这种分离有助于对应用程序和适应性进行独立分析。在QuA中间件中,我们使用基于镜像的反射和服务计划来支持自适应系统的开发和执行。镜像提供有关服务在整个生命周期阶段的行为和实现的元信息,包括在不同上下文中的性能。服务计划支持动态发现,基于效用和上下文感知的评估以及对给定服务的替代实现的选择。在这里,我们认为QuA中间件还能够支持自适应系统的某些形式的演化。由于在QuA中,在服务计划期间会自动发现并考虑新的替代实施方案或软件的更新版本,因此支持在运行时和加载时进行演进。还展示了使用我们的中间件开发最先进的自适应媒体流应用程序的实验结果。

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