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Convergence of Utility Computing with the Internet-of-Things

机译:效用计算与物联网的融合

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摘要

Despite recent advances in the IoT area for developing control systems into the cloud, the proliferation of inter-connected entities and the collection of diverse information act as the big challenges in order to provide full control over IoT devices. Solutions to the problem of formulating and managing internet-connected objects in cloud environments i.e. environments comprising "entities" and resources (such as sensors, actuators and smart devices) in cloud infrastructures are still in their infancy. This paper formulates design principles for IoT cloud environments and introduces a framework for the converging utility-driven cloud-based computing models, with emerging Internet-of-Things (IoT) infrastructures and applications into the cloud. Following results from analyzing the state-of-the-art and efforts towards the convergence of cloud computing and IoT, this paper also presents the main building blocks of a framework, which emphasizes on-demand establishment of IoT services based on the automated formulation of societies of internet-connected objects. The framework leverages well-known technologies (i.e. Linked Sensor Data) and standards (notably the W3C Semantic Sensor Networks ontology and the IETF COAP protocol).
机译:尽管在用于将控制系统开发到云中的IoT领域方面取得了最新进展,但互连实体的激增和各种信息的收集仍是最大的挑战,以便对IoT设备进行完全控制。在云环境中,即在云基础架构中包括“实体”和资源(例如传感器,执行器和智能设备)的环境中,制定和管理与互联网连接的对象的问题的解决方案仍处于起步阶段。本文阐述了物联网云环境的设计原理,并介绍了一个框架,用于将基于公用事业驱动的基于云的计算模型与新兴的物联网(IoT)基础架构和应用程序融合到云中。根据对最新技术的分析结果以及为实现云计算和IoT融合所做的努力,本文还介绍了该框架的主要构建模块,该框架强调了基于自动制定的IoT服务的按需建立互联对象社会。该框架利用了众所周知的技术(即链接的传感器数据)和标准(特别是W3C语义传感器网络本体和IETF COAP协议)。

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