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CIRUS: an elastic cloud-based framework for Ubilytics

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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.

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Notes

  1. Now is ESH [8]

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Authors and Affiliations

  1. University of Grenoble Alpes, Grenoble, France

    Linh Manh Pham, Ahmed El-Rheddane, Didier Donsez & Noel de Palma

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  1. Linh Manh Pham
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  2. Ahmed El-Rheddane
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  3. Didier Donsez
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  4. Noel de Palma
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Correspondence to Linh Manh Pham.

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Pham, L.M., El-Rheddane, A., Donsez, D. et al. CIRUS: an elastic cloud-based framework for Ubilytics. Ann. Telecommun. 71, 133–140 (2016). https://doi.org/10.1007/s12243-015-0489-0

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