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Open AccessArticle

Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture

1
General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece
2
Department of Information and Communication Systems Engineering, University of the Aegean, 83200 Samos, Greece
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Department of Electrical and Electronic Engineering, University of West Attica, 12244 Aigaleo, Greece
4
Martel Lab, Martel GMBH, 6900 Lugano, Switzerland
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IBM Israel, Science and Technology Ltd, Haifa 3498825, Israel
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Singular Logic S.A., 14564 Kifisia, Greece
7
CRAAX, Universitat Politecnica de Catalunya, 08800 Vilanova i la Geltru, Spain
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(16), 3591; https://doi.org/10.3390/s19163591
Received: 29 June 2019 / Revised: 7 August 2019 / Accepted: 12 August 2019 / Published: 17 August 2019
(This article belongs to the Special Issue Mobile and Embedded Devices in Multi-access Edge Computing)
Hybrid cloud multi-access edge computing (MEC) deployments have been proposed as efficient means to support Internet of Things (IoT) applications, relying on a plethora of nodes and data. In this paper, an overview on the area of hybrid clouds considering relevant research areas is given, providing technologies and mechanisms for the formation of such MEC deployments, as well as emphasizing several key issues that should be tackled by novel approaches, especially under the 5G paradigm. Furthermore, a decentralized hybrid cloud MEC architecture, resulting in a Platform-as-a-Service (PaaS) is proposed and its main building blocks and layers are thoroughly described. Aiming to offer a broad perspective on the business potential of such a platform, the stakeholder ecosystem is also analyzed. Finally, two use cases in the context of smart cities and mobile health are presented, aimed at showing how the proposed PaaS enables the development of respective IoT applications. View Full-Text
Keywords: hybrid clouds; PaaS; data pipelines; IoT applications; cloud native solutions; cloud-to-fog infrastructure hybrid clouds; PaaS; data pipelines; IoT applications; cloud native solutions; cloud-to-fog infrastructure
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Trakadas, P.; Nomikos, N.; Michailidis, E.T.; Zahariadis, T.; Facca, F.M.; Breitgand, D.; Rizou, S.; Masip, X.; Gkonis, P. Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture. Sensors 2019, 19, 3591.

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