DocumentCode
175250
Title
Big Data for Cyber Physical Systems: An Analysis of Challenges, Solutions and Opportunities
Author
Jara, Antonio J. ; Genoud, Dominique ; Bocchi, Yann
Author_Institution
Inst. of Bus. Inf. Syst., Univ. of Appl. Sci. Western Switzerland (HES-SO), Sierre, Switzerland
fYear
2014
fDate
2-4 July 2014
Firstpage
376
Lastpage
380
Abstract
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
Big Data; Internet of Things; cloud computing; data analysis; data integration; data privacy; security of data; Big Data analytics; CPS; Internet of Things; IoT; M2M; cloud computing; cyber physical systems; data integration; data privacy; data security; machine-to-machine communication; Availability; Big data; Data mining; Real-time systems; Security; Sensors; Wireless sensor networks; Big Data.; Cloud Computing; Cyber Physical Systems; Heterogenous Data Integration; Internet of Things;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on
Conference_Location
Birmingham
Print_ISBN
978-1-4799-4333-3
Type
conf
DOI
10.1109/IMIS.2014.139
Filename
6975492
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