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

Clicks: 153
ID: 117308
2019
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Abstract
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.
Reference Key
trakadas2019sensorshybrid Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Panagiotis Trakadas;Nikolaos Nomikos;Emmanouel T. Michailidis;Theodore Zahariadis;Federico M. Facca;David Breitgand;Stamatia Rizou;Xavi Masip;Panagiotis Gkonis;Trakadas, Panagiotis;Nomikos, Nikolaos;Michailidis, Emmanouel T.;Zahariadis, Theodore;Facca, Federico M.;Breitgand, David;Rizou, Stamatia;Masip, Xavi;Gkonis, Panagiotis;
Journal sensors
Year 2019
DOI
10.3390/s19163591
URL
https://www.mdpi.com/1424-8220/19/16/3591
Keywords
iot applications paas cloud native solutions cloud-to-fog infrastructure data pipelines hybrid clouds

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