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Data Management for IoT and Digital Twin

Data Management for IoT and Digital Twin
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Author(s): Galiveeti Poornima (Presidency University, India), Vinay Janardhanachari (Cloud Operations, USA) and Deepak S. Sakkari (Presidency Univeristy, India)
Copyright: 2023
Pages: 18
Source title: New Approaches to Data Analytics and Internet of Things Through Digital Twin
Source Author(s)/Editor(s): P. Karthikeyan (National Chung Cheng University, Chiayi, Taiwan), Polinpapilinho F. Katina (University of South Carolina Upstate, USA) and S.P. Anandaraj (Presidency University, India)
DOI: 10.4018/978-1-6684-5722-1.ch002

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Abstract

The internet of things (IoT) is a dynamic and global network infrastructure in which “things”—subsystems and individual physical and virtual entities—can be identified, autonomous, and self-configurable. “Things” are expected to communicate with one another and with the environment by exchanging data generated by sensing, as well as react to events and trigger actions to control the physical world. A digital twin is a synchronised virtual representation of real-world entities and processes. Understanding the data management challenges for DT is critical to understanding the data issues. Data management is a common issue in existing systems, ranging from product design to asset management and maintenance.

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