启用上下文感知自适应服务的运行时演化

Mahmoud Hussein, Jun Han, Jian Yu, A. Colman
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引用次数: 15

摘要

对上下文感知的自适应服务的需求越来越大,这些服务可以在运行时响应其环境或功能中的意外更改而进行演化。支持这种上下文感知的自适应服务的运行时演化仍然是一个主要挑战。在本文中,我们介绍了一种新的方法来解决这一挑战。在开发时,我们的方法从三个方面显式地为上下文感知的自适应服务建模:功能、上下文和自适应行为。因此,这些方面及其关系可以被清楚地捕获并易于操作。该方法还从组合服务的模型生成可执行构件。这些工件被设计成能够在运行时进行更改(即可演化的工件)。为了应对意料之外的变化,我们采用models@runtime概念来保持服务模型在运行时的活动状态。然后由软件工程师操纵这个模型来考虑这些变化。为了将模型更改应用于运行服务的组合,需要计算运行服务模型与其演化模型之间的差异。然后,生成与差异相对应的适应操作,并将其应用于服务的可演化工件。为了证明该方法的适用性,我们使用它开发和改进了两个案例研究:旅游指南和电子考试服务。
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Enabling Runtime Evolution of Context-Aware Adaptive Services
There is an increasing demand for context-aware adaptive services that can evolve at runtime in response to unanticipated changes in their environments or functionalities. Enabling the runtime evolution of such context-aware adaptive services is still a major challenge. In this paper, we introduce a novel approach to tackle this challenge. At the development time, our approach explicitly models a context-aware adaptive service from three aspects: functionality, context, and adaptive behaviour. As such, these aspects and their relationships can be clearly captured and easily manipulated. The approach also generates the executable artifacts of the composite service from their models. These artifacts are engineered with the ability to be changed at runtime (i.e. evolvable artifacts). To cope with unanticipated changes, we adopt the models@runtime concept for keeping the service model alive at runtime. This model is then manipulated by the software engineer to take into account such changes. To apply the model changes to the running service's composition, differences between the running service model and its evolved model are computed. Then, adaptation actions corresponding to the differences are generated and applied to the service's evolvable artifacts. To demonstrate the approach applicability, we have used it to develop and evolve two case studies: travel guide and electronic exam services.
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