A Framework of Automation on Context-Aware Internet of Things (IoT) Systems

Hossein Chegini, Aniket Mahanti
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引用次数: 20

Abstract

An ever-increasing number of different types of objects are connecting to the Internet, and this phenomenon is called the Internet of Things(IoT). Processing the IoT generated data by Cloud Computing causes high latency. Fog Computing is a new motivation for resolving the latency issue, which is a hosting environment between the IoT and the Cloud layers. IoT applications are faced with three significant challenges: big data, device heterogeneity, and Fog resiliency. With the motivation of resolving the challenges, this proposal introduces a Microservice software framework for implementing automatic functions in the IoT-Fog-Cloud ecosystem. The proposed Microservice framework will also enable the development of IoT-based context-aware intelligent decision-making systems. We describe the functionality and contribution of each automatic function in the paper.
上下文感知物联网(IoT)系统的自动化框架
越来越多的不同类型的物体连接到互联网,这种现象被称为物联网(IoT)。通过云计算处理物联网生成的数据,时延高。雾计算是解决延迟问题的新动力,这是物联网和云层之间的托管环境。物联网应用面临三大挑战:大数据、设备异构和雾弹性。为了解决这些挑战,本提案引入了一个微服务软件框架,用于在物联网-雾云生态系统中实现自动功能。提出的微服务框架还将使基于物联网的上下文感知智能决策系统的开发成为可能。文中介绍了各个自动功能的功能和贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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