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Annals of Telecommunications

Erschienen in:

01.04.2016

CIRUS: an elastic cloud-based framework for Ubilytics

verfasst von: Linh Manh Pham, Ahmed El-Rheddane, Didier Donsez, Noel de Palma

Erschienen in: Annals of Telecommunications | Ausgabe 3-4/2016

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Abstract

The Internet of Things (IoT) has become a reality with the availability of chatty embedded devices. The huge amount of data generated by things must be analysed with models and technologies of the “Big Data Analytics”, deployed on cloud platforms. The CIRUS project aims to deliver a generic and elastic cloud-based framework for Ubilytics (ubiquitous big data analytics). The CIRUS framework collects and analyses IoT data for Machine to Machine services using Component-off-the-Shelves (COTS) such as IoT gateways, Message brokers or Message-as-a-Service providers and big data analytics platforms deployed and reconfigured dynamically with Roboconf. In this paper, we demonstrate and evaluate the genericity and elasticity of CIRUS with the deployment of a Ubilytics use case using a real dataset based on records originating from a practical source.

Vorheriger Artikel Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

Nächster Artikel Model-driven interoperability: engineering heterogeneous IoT systems

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Titel: CIRUS: an elastic cloud-based framework for Ubilytics
verfasst von: Linh Manh Pham
Ahmed El-Rheddane
Didier Donsez
Noel de Palma
Publikationsdatum: 01.04.2016
Verlag: Springer Paris
Erschienen in: Annals of Telecommunications / Ausgabe 3-4/2016
Print ISSN: 0003-4347
Elektronische ISSN: 1958-9395
DOI: https://doi.org/10.1007/s12243-015-0489-0

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