Big data for cyber physical systems : an analysis of challenges, solutions and opportunities

Jara, Antonio (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Genoud, Dominique (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Bocchi, Yann (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Cyber-Physical Systems (CPS) covers from M2M and Internet of Things (IoT) communications, heterogeneous data integration from multiple sources, security / privacy and its integration into the cloud computing and Big Data platforms. The integration of Big Data into CPS solutions presents several challenges and opportunities. Big Data for CPS is not suitable with conventional solutions based on offline or batch processing. The interconnection with the real-world, in industrial and critical environments, requires reaction in real-time. Therefore, real-time will be a vertical requirement from communication to Big Data analytics. Big Data for CPS requires on the one hand, real-time streams processing for real-time control, and on the other hand, batch processing for modeling and behaviors learning. This paper describes the existing solutions and the pending challenges, providing some guidelines to address the challenges.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Birmingham, United Kingdom, 02-04 July 2014
Date:
Birmingham, United Kingdom
02-04 July 2014
2014
Pagination:
5 p.
Published in:
Proceedings of the 8th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing 2014
DOI:
ISSN:
978-1-4799-4333-3
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2015-11-14, last modified 2019-06-11

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