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Context Aware Middleware Architectures: Survey and Challenges

机译:上下文感知中间件体系结构:调查和挑战

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摘要

Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous interface involving generic context management solutions. This paper provides a survey of state-of-the-art context aware middleware architectures proposed during the period from 2009 through 2015. First, a preliminary background, such as the principles of context, context awareness, context modelling, and context reasoning, is provided for a comprehensive understanding of context aware middleware. On this basis, an overview of eleven carefully selected middleware architectures is presented and their main features explained. Then, thorough comparisons and analysis of the presented middleware architectures are performed based on technical parameters including architectural style, context abstraction, context reasoning, scalability, fault tolerance, interoperability, service discovery, storage, security & privacy, context awareness level, and cloud-based big data analytics. The analysis shows that there is actually no context aware middleware architecture that complies with all requirements. Finally, challenges are pointed out as open issues for future work.
机译:可以将其行为适应不断变化的环境的上下文感知应用程序正吸引越来越多的关注。为了简化开发应用程序的复杂性,强调了将上下文感知引入到传统中间件中的上下文感知中间件,以提供涉及通用上下文管理解决方案的同类接口。本文对2009年至2015年期间提出的最先进的上下文感知中间件体系结构进行了调查。首先,初步的背景是诸如上下文,上下文意识,上下文建模和上下文推理的原理。提供了对上下文感知中间件的全面理解。在此基础上,给出了11种精心选择的中间件体系结构的概述,并解释了它们的主要功能。然后,根据包括架构样式,上下文抽象,上下文推理,可伸缩性,容错性,互操作性,服务发现,存储,安全性和隐私,上下文感知级别以及云技术在内的技术参数,对所介绍的中间件体系结构进行彻底的比较和分析。基于大数据分析。分析表明,实际上没有符合所有需求的上下文感知中间件体系结构。最后,指出挑战是未来工作的未解决问题。

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