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Situation-based and self-adaptive applications for the smart environment

机译：适用于智能环境的基于情况的自适应应用程序

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摘要

Situation-based and self-adaptive applications are the key enablers of smart environments and ecosystems. In those environments, developers and users focus on innovating and making added-value applications, instead of solving the problems of interoperability and complexity of heterogeneous systems. This paper contributes by introducing an innovative adaptation framework for the situation-based and self-adaptive applications of smart environments. The framework embodies a novel architecture, generic ontologies for context, security, and performance management, and dynamic models for performing runtime reasoning and adaptation. The framework is intended for an application developer who is ⅰ) creating application scenarios, and ⅱ) transforming the scenarios into annotated sequence diagrams with the help of the static models of the framework, the ontologies, and the rules defined in them. Thereafter, the application developer ⅲ) transforms the annotated application behavior description into the selected rule language, SPARQL. The approach is exemplified through the creation of the GuideMe application, which exploits context, security, and performance information to adapt the service according to the quality requirements and the context of the user, as well as the smart environment, without bothering the end-user.
机译：基于情况和自适应的应用程序是智能环境和生态系统的关键推动力。在这些环境中，开发人员和用户专注于创新和制作增值应用程序，而不是解决异构系统的互操作性和复杂性问题。本文通过引入创新的适应框架为智能环境的基于情况和自适应应用做出贡献。该框架体现了一种新颖的体系结构，用于上下文，安全性和性能管理的通用本体，以及用于执行运行时推理和自适应的动态模型。该框架适用于ⅰ）创建应用程序场景，ⅰ）在框架的静态模型，本体和其中定义的规则的帮助下将场景转换为带注释的序列图的应用程序开发人员。此后，应用程序开发人员（）将带注释的应用程序行为描述转换为所选规则语言SPARQL。通过创建GuideMe应用程序来举例说明该方法，该应用程序利用上下文，安全性和性能信息来根据质量要求和用户上下文以及智能环境来适应服务，而不会打扰最终用户。 。

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