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Development of a Context-aware framework for the Integration of Internet of Things and Cloud Computing for Remote Monitoring Services

机译:开发用于集成的内容感知框架,用于远程监控服务的事物和云计算

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摘要

With global competition and technological progress, there have been growing demands by industry for more efficiency in monitoring the health status of the manufacturing equipment in real time. Remote monitoring services in the era of Industry 4.0 are nonetheless faced some challenges such as big data’s 4V challenges (volume, velocity, variety, veracity), scalability, data heterogeneity, as well as relevant to integrating data with domain knowledge. While all these pose problems in conventional monitoring, they become even more challenges when integrating IoT and cloud computing to deliver advanced services to offer infrastructure availability and ubiquitous accessibility. Although it offers many benefits and solution enablers, substantial effort is required to manage and exploit the data generated by "things". Among the key instruments to tackle such complexity is the concept of context information management. This paper proposes a conceptual context-aware framework for the integration of Internet of Things and cloud computing for remote monitoring services.
机译:随着全球竞争和技术进步,行业的需求越来越大,以实时监测制造设备的健康状况。最远程监控服务在行业4.0时代仍面临着大数据的4V挑战(体积,速度,品种,准确性),可扩展性,数据异质性以及与与域知识集成的挑战等挑战面临的一些挑战。虽然所有这些构成问题在传统的监测中,但在整合物联网和云计算时,它们变得更具挑战,以提供高级服务,以提供基础设施可用性和无处不在的可访问性。虽然它提供了许多好处和解决方案推动者,但需要大量努力来管理和利用“事物”生成的数据。在解决此类复杂性的关键工具中是语境信息管理的概念。本文提出了一种概念上下文感知框架,用于集成用于远程监控服务的事物和云计算。

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