Edge Intelligence and the Industrial Internet of Things

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The Industrial Internet of Things is a key enabler of a new set of capabilities for the manufacturing industry. As more objects become inter-connected, there is a greater need to a) securely share data and b) intelligently manage and exploit the potential of data that is accessible close to its source. Edge intelligence is a consequence of the desire to “push” computation and storage to the limits of network infrastructure, in a way that supports intelligent visualisation and interaction with data within the context that it is generated. This chapter examines pertinent topics for potential consumers of IIoT, and by way of a case study in the manufacturing domain, explores the limits and potential of edge intelligence.
Original languageEnglish
Title of host publicationEdge Computing for Massive Parallel Processing of IoT Data Streams
PublisherIOS Press
Publication statusAccepted/In press - 28 Dec 2019

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Visualization
Industry
Internet of things

Cite this

Hill, R., & Al-Aqrabi, H. (Accepted/In press). Edge Intelligence and the Industrial Internet of Things. In Edge Computing for Massive Parallel Processing of IoT Data Streams IOS Press.
Hill, Richard ; Al-Aqrabi, Hussain. / Edge Intelligence and the Industrial Internet of Things. Edge Computing for Massive Parallel Processing of IoT Data Streams. IOS Press, 2019.
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Hill, R & Al-Aqrabi, H 2019, Edge Intelligence and the Industrial Internet of Things. in Edge Computing for Massive Parallel Processing of IoT Data Streams. IOS Press.

Edge Intelligence and the Industrial Internet of Things. / Hill, Richard; Al-Aqrabi, Hussain.

Edge Computing for Massive Parallel Processing of IoT Data Streams. IOS Press, 2019.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Hill R, Al-Aqrabi H. Edge Intelligence and the Industrial Internet of Things. In Edge Computing for Massive Parallel Processing of IoT Data Streams. IOS Press. 2019