Publication Details

Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products

CORREIA Anna, WOLFF Christian, ZANIN Massimiliano, MENASALVAS Ernestina, HERRMANN Elisa A., CORRAL Victor, KACHELMANN Miriam, DELONG Rance and SMRŽ Pavel. Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products. In: Proceedings of Cyber-Physical Social Systems (CPSS 2019) co-located with the 9th International Conference on the Internet of Things (IoT 2019). Madrid: CEUR-WS.org, 2019, pp. 1-8. ISSN 1613-0073.
Czech title
Cross-CPP - ekosystém pro zajišťování, konsolidaci a analýzu velkých dat z CPP
Type
conference paper
Language
english
Authors
Correia Anna (ATB)
Wolff Christian (ATB)
Zanin Massimiliano (UPN)
Menasalvas Ernestina (UPN)
Herrmann Elisa A. (ATOS)
Corral Victor (ATOS)
Kachelmann Miriam (METEOLOGIX)
DeLong Rance (TOG-UK)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
Keywords

automation, automobile manufacture, big data, ecosystems, internet of things, cyber physical system

Abstract

It is expected that with the increasing number of connected sensors and actuators within mass products, the large spectrum of sensor data coming from high volume products in various industrial sectors (vehicles, smart home devices, etc.) will rise in short-term. This enormous amount of data continuously generated by CPPs will represent (1) a new information resource to create new value, allowing the improvement of existing services or the establishment of diverse new cross-sectorial services, by combining data streams from various sources, and (2) a major big data-driven business potential, not only for the manufacturers of Cyber Physical Products (CPP), but in particular also for cross-sectorial industries as well as various organisations with interdisciplinary applications. In spite of major advances in the field, several challenges still hinder the use of these data, like the lack of, or only few, CPP ecosystems that are in the best-case manufacturer specific and not open for external companies interested in using such data. We present here a solution that envisions to establish a CPP Big Data Ecosystem to bring to the outside world CPP data from various industrial sectors, brand independent, allowing for external service providers that use CPP data from this unique CPP data access point (as well as from other sources) to develop cross-sectorial services.

Published
2019
Pages
1-8
Journal
CEUR Workshop Proceedings, vol. 2530, no. 2019, ISSN 1613-0073
Proceedings
Proceedings of Cyber-Physical Social Systems (CPSS 2019) co-located with the 9th International Conference on the Internet of Things (IoT 2019)
Conference
Cyber-Physical Social Systems, Bilbao, ES
Publisher
CEUR-WS.org
Place
Madrid, ES
EID Scopus
2-s2.0-85078173080
BibTeX 
@INPROCEEDINGS{FITPUB12196,
   author = "Anna Correia and Christian Wolff and Massimiliano Zanin and Ernestina Menasalvas and A. Elisa Herrmann and Victor Corral and Miriam Kachelmann and Rance DeLong and Pavel Smr\v{z}",
   title = "Cross-CPP - An Ecosystem for Provisioning, Consolidating, and Analysing Big Data from Cyber-Physical Products",
   pages = "1--8",
   booktitle = "Proceedings of Cyber-Physical Social Systems (CPSS 2019) co-located with the 9th International Conference on the Internet of Things (IoT 2019)",
   journal = "CEUR Workshop Proceedings",
   volume = 2530,
   number = 2019,
   year = 2019,
   location = "Madrid, ES",
   publisher = "CEUR-WS.org",
   ISSN = "1613-0073",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12196"
}
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