Characterizing the Capabilities of Internet of Things Analytics Through Taxonomy and Reference Architecture
Author:
Affiliation:
1. University of Dubai, & UAE and Yarmouk University,, Jordan
Abstract
The increasing prevalence of business cases utilizing internet of things (IoT) analytics, coupled with the diversity of IoT analytics platforms and their capabilities, poses an immense challenge for organizations seeking to make the best choice of IoT analytics platform for their specific use cases. Aiming to characterize the capabilities of IoT analytics, this article presents a reference architecture for IoT analytics platforms created through a qualitative content analysis of online reviews and published implementation architectures of IoT analytics platforms. A further contribution is a taxonomy of the functional and cross-functional capabilities of IoT analytics platforms derived from the analysis of published use cases and related business surveys. Both the reference architecture and the associated taxonomy provide a theoretical basis for further research into IoT analytics capabilities and should therefore facilitate the evaluation, selection, and adoption of IoT analytics solutions through a unified description of their capabilities and functional requirements.
Publisher
IGI Global
Subject
General Computer Science
Reference98 articles.
1. Machine learning and data analytics for the IoT
2. Architecture and development of an Industrial Internet of Things framework for realizing services in Industrial Product Service Systems
3. Characterizing Internet of Things Systems through Taxonomies: A Systematic Mapping Study
4. SysSensory
5. Amazon. (2020). Documentation on AWS IoT Analytics. Retrieved 6 September, 2020, from https://docs.aws.amazon.com/iotanalytics/latest/userguide/welcome.html
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3