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On the Combination of Multi-Cloud and Network Coding for Cost-Efficient Storage in Industrial Applications

1
Information and Communication Technologies Area, Ikerlan Technology Research Centre, 20500 Arrasate-Mondragón, Spain
2
Department of Communications Engineering, University of Cantabria, 39005 Santander, Spain
3
Electronics and Communications Department, University of Navarra (Tecnun), 20009 Donostia-San Sebastián, Spain
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(7), 1673; https://doi.org/10.3390/s19071673
Received: 19 February 2019 / Revised: 29 March 2019 / Accepted: 3 April 2019 / Published: 8 April 2019
(This article belongs to the Special Issue Recent Advances in Fog/Edge Computing in Internet of Things)
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Abstract

The adoption of both Cyber–Physical Systems (CPSs) and the Internet-of-Things (IoT) has enabled the evolution towards the so-called Industry 4.0. These technologies, together with cloud computing and artificial intelligence, foster new business opportunities. Besides, several industrial applications need immediate decision making and fog computing is emerging as a promising solution to address such requirement. In order to achieve a cost-efficient system, we propose taking advantage from spot instances, a new service offered by cloud providers, which provide resources at lower prices. The main downside of these instances is that they do not ensure service continuity and they might suffer from interruptions. An architecture that combines fog and multi-cloud deployments along with Network Coding (NC) techniques, guarantees the needed fault-tolerance for the cloud environment, and also reduces the required amount of redundant data to provide reliable services. In this paper we analyze how NC can actually help to reduce the storage cost and improve the resource efficiency for industrial applications, based on a multi-cloud infrastructure. The cost analysis has been carried out using both real AWS EC2 spot instance prices and, to complement them, prices obtained from a model based on a finite Markov chain, derived from real measurements. We have analyzed the overall system cost, depending on different parameters, showing that configurations that seek to minimize the storage yield a higher cost reduction, due to the strong impact of storage cost. View Full-Text
Keywords: cost-efficiency; data availability; distributed storage; fog; Industry 4.0; multi-cloud; network coding; reliability; spot instances cost-efficiency; data availability; distributed storage; fog; Industry 4.0; multi-cloud; network coding; reliability; spot instances
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Peralta, G.; Garrido, P.; Bilbao, J.; Agüero, R.; Crespo, P.M. On the Combination of Multi-Cloud and Network Coding for Cost-Efficient Storage in Industrial Applications. Sensors 2019, 19, 1673.

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