基于云的物联网数据采集与处理平台

Vincent C. Emeakaroha, Neil Cafferkey, Philip D. Healy, J. Morrison
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引用次数: 27

摘要

包括传感器在内的物联网(IoT)智能设备的部署正在快速发展。然而,它们产生的数据量越来越难以在本地平台上存储和处理。云计算提供的可伸缩性为这个问题提供了解决方案。云计算以低成本为用户提供资源。然而,收集和传输传感器数据到云的独立于平台的方法并没有广泛可用。本文提出了一种基于云的智能设备数据监测、采集和处理平台。它首先回顾了现有解决方案所体现的最先进的技术,并讨论了它们的优缺点。根据调查分析,提出了一个通用的体系结构,以解决该领域中数据收集和处理所面临的已确定的挑战。基于用例场景,我们评估并演示了我们提议的平台的新颖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cloud-Based IoT Data Gathering and Processing Platform
The deployment of Internet of Things (IoT) smart devices, including sensors, is progressing at a rapid pace. However, the volume of data they generate is becoming difficult to store and process on local platforms. The scalability offered by Cloud computing provides a solution to this problem. Cloud computing provides resources at low cost for its users. However, platform-independent methods of gathering and transmitting sensor data to Clouds are not widely available. This paper presents a Cloud-based smart device data monitoring, gathering and processing platform. It first reviews the state-of-the-art embodied by the existing solutions and discusses their strengths and weaknesses. Informed by the survey analysis, a generic architecture is presented that addresses the identified challenges facing data gathering and processing in this area. Based on use case scenarios, we evaluate and demonstrate the novelty of our proposed platform.
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