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IN2CLOUD: A novel concept for collaborative management of big railway data
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7458-6820
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2017 (English)In: Frontiers of Engineering Management, ISSN 2095-7513, Vol. 4, no 4, p. 428-436Article in journal (Refereed) Published
Abstract [en]

In the EU Horizon 2020 Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from data and/or information. Therefore, we promote a novel concept called “IN2CLOUD,” which comprises three sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloud. The concept is developed under the assumption that organizations want/need to learn from each other (including domain knowledge and experience) but do not want to share their raw data or information. IN2CLOUD will help the movement of railway industry systems from “local” to “global” optimization in a collaborative way. The development of cutting-edge intelligent hybrid cloud-based solutions, including information technology (IT) solutions and related methodologies, will enhance business security, economic sustainability, and decision support in the field of intelligent asset management of railway assets.

Place, publisher, year, edition, pages
Higher Education Press, 2017. Vol. 4, no 4, p. 428-436
National Category
Transport Systems and Logistics Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-66907DOI: 10.15302/J-FEM-2017048ISI: 000424537200006OAI: oai:DiVA.org:ltu-66907DiVA, id: diva2:1163043
Note

Validerad;2018;Nivå 2;2018-03-21 (rokbeg)

Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-03-21Bibliographically approved

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Publisher's full texthttp://10.15302/J-FEM-2017048

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