A reference architecture for federating IoT infrastructures supporting semantic interoperability
A reference architecture for federating IoT infrastructures supporting semantic interoperability
The Internet-of-Things (IoT) is unanimously identified as one of the main pillars of future smart scenarios. However, despite the growing number of IoT deployments, the majority of IoT applications tend to be self-contained, thereby forming vertical silos. Indeed, the ability to combine and synthesize data
streams and services from diverse IoT platforms and testbeds, holds the promise to increase the potential of smart applications in terms of size, scope and targeted business context. This paper describes the system architecture for the FIESTA-IoT platform, whose main aim is to federate a large number of testbeds across the planet, in order to offer experimenters the unique experience
of dealing with a large number of semantically interoperable data sources. This system architecture was developed by following the Architectural Reference Model (ARM) methodology promoted by the IoT-A project (FP7 “light house” project on Architecture for the Internet of Things). Through this process, the FIESTAIoT architecture is composed of a set of Views that deals with a “logical” functional decomposition (Functional View, FV) and data structuring and annotation, data flows and inter-functional component interactions (Information View, IV).
Carrez, Francois
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Elsaleh, Tarek
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Gomez, David
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Sanchez, Luis
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Lanza, Jorge
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Grace, Paul
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July 2017
Carrez, Francois
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Elsaleh, Tarek
2efb7629-4fd6-4cc4-8585-7c198d9afcdd
Gomez, David
262b4137-58f2-4a7f-ad66-a7999d78352a
Sanchez, Luis
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Lanza, Jorge
010eb596-cc50-45da-8605-27912ac1f933
Grace, Paul
b48ef8f2-b116-48ce-b774-4d43808cc02f
Carrez, Francois, Elsaleh, Tarek, Gomez, David, Sanchez, Luis, Lanza, Jorge and Grace, Paul
(2017)
A reference architecture for federating IoT infrastructures supporting semantic interoperability.
In 2017 European Conference on Networks and Communications (EuCNC).
IEEE.
6 pp
.
(doi:10.1109/EuCNC.2017.7980765).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The Internet-of-Things (IoT) is unanimously identified as one of the main pillars of future smart scenarios. However, despite the growing number of IoT deployments, the majority of IoT applications tend to be self-contained, thereby forming vertical silos. Indeed, the ability to combine and synthesize data
streams and services from diverse IoT platforms and testbeds, holds the promise to increase the potential of smart applications in terms of size, scope and targeted business context. This paper describes the system architecture for the FIESTA-IoT platform, whose main aim is to federate a large number of testbeds across the planet, in order to offer experimenters the unique experience
of dealing with a large number of semantically interoperable data sources. This system architecture was developed by following the Architectural Reference Model (ARM) methodology promoted by the IoT-A project (FP7 “light house” project on Architecture for the Internet of Things). Through this process, the FIESTAIoT architecture is composed of a set of Views that deals with a “logical” functional decomposition (Functional View, FV) and data structuring and annotation, data flows and inter-functional component interactions (Information View, IV).
Text
A Reference Architecture for Federating IoT Infrastructures Supporting Semantice Interoperability - eucncpaper
- Accepted Manuscript
More information
Submitted date: 24 February 2017
Accepted/In Press date: 17 April 2017
e-pub ahead of print date: 17 July 2017
Published date: July 2017
Venue - Dates:
European Conference on Networks and Communications, , Oulu, Finland, 2017-06-13 - 2017-06-15
Organisations:
IT Innovation
Identifiers
Local EPrints ID: 410365
URI: http://eprints.soton.ac.uk/id/eprint/410365
PURE UUID: 72b5f07b-6d3a-400a-ba9d-99b10effa12e
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Date deposited: 07 Jun 2017 16:31
Last modified: 15 Mar 2024 21:56
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Contributors
Author:
Francois Carrez
Author:
Tarek Elsaleh
Author:
David Gomez
Author:
Luis Sanchez
Author:
Jorge Lanza
Author:
Paul Grace
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