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CATS-CAE Reflective Middleware Framework for Adapting Context-Aware Transactional Services: Using a Hybrid Policy-Based Approach

机译:用于适应上下文感知的事务服务的CATS-CAE反射中间件框架:使用基于策略的混合方法

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摘要

Pervasive environments are characterized by limited computing resources and wireless connectivity. In parallel, current application domains have variable transactional requirements that do not fit the traditional ACID model. As a result, the pervasive environment characteristics are compelling and cannot be supported by conventional solutions that are typically dedicated to a specific application domain and support a limited set of context parameters. This article aims at providing a complete solution that addresses the challenges of the adaptability of context-aware transactional services “CATS” in pervasive environments. Thus, a new framework CATS-CAE was designed, which offers a comprehensive structure of multiple component chains. The adaptation strategy in CATS-CAE is based on a hybrid approach combining the use of adaptation policies, alternative strategy and behavioral adaptation of composite services through the “Profiled Task Class” concept. A probabilistic model is also presented to support the efficiency of the proposed approach.
机译:普适环境的特点是计算资源和无线连接受限。同时,当前的应用程序域具有不符合传统ACID模型的可变事务要求。结果,普遍的环境特征令人信服,并且通常专用于特定应用程序域并支持有限的上下文参数集的常规解决方案无法支持。本文旨在提供一个完整的解决方案,以解决普适环境中上下文感知事务服务“ CATS”的适应性挑战。因此,设计了一个新的CATS-CAE框架,该框架提供了多个组件链的综合结构。 CATS-CAE中的适应策略基于一种混合方法,该方法结合了适应策略的使用,替代策略以及通过“已配置任务类别”概念对复合服务的行为适应。还提出了一个概率模型来支持所提出方法的效率。

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