Towards Swarm Intelligence Architectural Patterns: an IoT-Big Data-AI-Blockchain convergence perspective
Article No.: 24, Pages 1 - 8
Abstract
The Internet of Things (IoT) is exploding. It is made up of billions of smart devices -from minuscule chips to mammoth machines - that use wireless technology to talk to each other (and to us). IoT infrastructures can vary from instrumented connected devices providing data externally to smart, and autonomous systems. To accompany data explosion resulting, among others, from IoT, Big data analytics processes examine large data sets to uncover hidden patterns, unknown correlations between collected events, either at a very technical level (incident/anomaly detection, predictive maintenance) or at business level (customer preferences, market trends, revenue opportunities) to provide improved operational efficiency, better customer service, competitive advantages over rival organizations, etc. In order to capitalize business value of the data generated by IoT sensors, IoT, Big Data Analytics/IA need to meet in the middle. One critical use case for IoT is to warn organizations when a product or service is at risk. The aim of this paper is to present a first proposal of IoT-Big Data-IA architectural patterns catalogues with a Blockchain implementation perspective in seek of design methodologies artifacts.
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Published In
October 2019
476 pages
ISBN:9781450372404
DOI:10.1145/3372938
- Conference Chairs:
- Mohamed Lazaar,
- Claude Duvallet,
- Mohammed Al Achhab,
- Oussama Mahboub,
- Hassan Silkan
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Published: 07 January 2020
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BDIoT'19
BDIoT'19: The 4th International Conference On Big Data and Internet of Things
October 23 - 24, 2019
Rabat, Morocco
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BDIoT '19 Paper Acceptance Rate 75 of 136 submissions, 55%;
Overall Acceptance Rate 75 of 136 submissions, 55%
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