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ContextErlang: Introducing Context-oriented Programming in the Actor Model

机译:Contexterlang:在演员模型中引入上下文导向的编程

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Self-adapting systems are becoming widespread in emerging fields such as autonomic, mobile and ubiquitous computing. Context-oriented programming (COP) is a promising language-level solution for the implementation of context-aware, self-adaptive software. However, current COP approaches struggle to effectively manage the asynchronous nature of context provisioning. We argue that, to solve these issues, COP features should be designed to fit nicely in the concurrency model supported by the language. This work presents the design rationale of CONTEXTERLANG, which introduces COP in the Actor Model. We provide evidence that CONTEXTERLANG constitutes a viable solution to implement context-aware software in a highly concurrent and distributed setting. We discuss a case study and an evaluation of run-time performance.
机译:自适应系统在自主,移动和无处不在的计算之类的新兴领域变得普遍。面向上下文的编程(COP)是一个有希望的语言级解决方案,用于实现上下文感知自适应软件。但是,当前警察方法致力于有效地管理上下文配置的异步性质。我们争辩说,要解决这些问题,COP功能应设计成在语言支持的并发模型中很好地适应。这项工作介绍了Contexterlang的设计理由,它在演员模型中引入了警察。我们提供了证据,即Contexterlang构成一个可行的解决方案,以在高度并发和分布式设置中实现上下文感知软件。我们讨论案例研究和对运行时性能的评估。

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