18, Jan, 2018 11:30-12:30 (1 hour)
CISTER, Porto, Portugal

ABSTRACT:
The Internet of Things (IoT) has generated a large amount of research interest across a wide variety of technical areas. These include research interests in the physical devices, communications between the devices, and relationships between them. One of the effects of ubiquitous sensors networked together into large ecosystems has been an enormous flow of data supporting a wide variety of applications. Data stream processing frameworks enable us get real time insights from these enormous data generated by IoT applications. Fog Computing has been proposed and implemented for IoT applications as it brings decision making closer to the devices and reduces action latency among many other advantages. The low computation power, typical of edge devices, also makes them unsuitable for complex stream analytics. In this talk, we propose a new “Intelli-Fog” approach to IoT data management by leveraging mined historical intelligence from Cloud Big Data platforms and combining it with real time actionable events from IoT devices at the edge of the network. IoT devices export data to Big data platforms at intervals and the platforms in turn communicate information needed for real time intelligent decision making. We also present use case application scenarios. This approach makes edge devices more intelligent in decision making without increasing action latency.

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Presentation PDF (1.8 MB) 

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