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.
|Title of host publication||Advances in Edge Computing|
|Subtitle of host publication||Massive Parallel Processing and Applications|
|Editors||Fatos Xhafa, Arun Kumar Sangaiah|
|Number of pages||19|
|Publication status||Published - 2020|
|Name||Advances in Parallel Computing|
|Publisher||IOS Press BV|