Fog Computing in IoT: a New Paradigm for Distributed Intelligence

27 April 2016
Report type: Research Note
Author(s): Aapo Markkanen
Keywords: Fog computing, edge computing, edge intelligence, distributed intelligence, embedded systems, centralised intelligence, cloud intelligence, cloud computing, cloud, analytics, big data, data storage, data integration, event processing, communication protocols, protocol translation, device management, security, gateways, routers, local servers, operational technologies, OT, Internet of Things, IoT, Industrial Internet, Enterprise IoT, IoT platforms
Number of Pages: 6

The notion that future IoT deployments will benefit from incorporating edge processing into an overall solution design has gained ground over the past year or two. There is a growing consensus within the industry that applications in the so-called Industrial Internet, in particular, require a greater degree of system intelligence enabled at the edge, particularly due to concerns related to security and analytics. Fog computing has been proposed as a new model to achieving this.  In this series of three Research Notes, Machina Research analyses the topic from different angles. This Research Note, the first of the three, describes what edge intelligence and fog computing are conceptually, and what advantages they can bring.

Keywords: Fog computing, edge computing, edge intelligence, distributed intelligence, embedded systems, centralised intelligence, cloud intelligence, cloud computing, cloud, analytics, big data, data storage, data integration, event processing, communication protocols, protocol translation, device management, security, gateways, routers, local servers, operational technologies, OT, Internet of Things, IoT, Industrial Internet, Enterprise IoT, IoT platforms

6 pages

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