边缘计算节点的数据采集、过滤和缓冲协议设计

Xinyi Xu, W. Dai
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引用次数: 1

摘要

边缘计算在弥合工业云和工业物联网现场设备之间的差距方面发挥着越来越重要的作用。如何有效地从各种设备类型中收集数据成为边缘计算面临的主要挑战之一。在工业边缘计算中,与数据相关的挑战逐渐暴露出来,包括边缘计算节点之间的兼容性、数据采集的流程规范以及数据存储的效率。为了解决上述问题,提出了IEEE P2805.2标准,该标准在云计算和边缘计算之间提供通用的数据采集、过滤和缓冲协议。本文详细阐述了IEEE P2805.2标准的数据采集原理和过程。提出了一个案例研究来验证所提出的协议的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Acquisition, Filtering and Buffering Protocol Design for Edge Computing Nodes
Edge computing is playing a more and more important role to bridge the gap between industrial clouds and field devices for Industrial Internet-of-Things. How to collect data effectively from various device types becomes one of the major challenges for edge computing. In industrial edge computing, data-related challenges are gradually exposed including compatibility between edge computing nodes, the process specification of data acquisition, and the efficiency of data storage. To solve the above problems, the IEEE P2805.2 Standard is proposed, which provides generic data acquisition, filtering and buffering protocols between cloud and edge computing. In this paper, the data acquisition principle and process of the IEEE P2805.2 Standard are explained in detail. A case study is presented for proof-of-concept of the proposed protocol.
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