Abstract

The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after another and created strong interdependence among one another. For example, IoT applications that generate small data with large volume and fast velocity will need 5G with characteristics of high data rate and low latency to transmit such data faster and cheaper. On the other hand, those data also need Cloud to process and to store and furthermore, SDN to provide scalable network infrastructure to transport this large volume of data in an optimal way. This article explores the technical relationships among the development of IoT, Big Data, Cloud, and SDN in the coming 5G era and illustrates several ongoing programs and applications at National Chiao Tung University that are based on the converging of those technologies.

Highlights

  • The roles of Software Defined Networks (SDN), Cloud, Internet of Things (IoT), and Big Data in 5G Networks have raised great interest recently [1]

  • This paper explores the technical relationships of these five areas and discusses several ongoing programs and applications currently under development at National Chiao Tung University (NCTU) based on these technologies

  • We describe five ongoing programs and applications at NCTU that are closely related to the SDN, Cloud, Big Data, IoT, and 5G technologies [7]-[17]

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Summary

Introduction

The roles of SDN, Cloud, IoT, and Big Data in 5G Networks have raised great interest recently [1]. In the meantime, based on the report in IEEE Communications Society (IEEE ComSoc Technology News [3]), among top 10 trends in 2015 as listed, 5G, Virtualization (SDN & NFV), everywhere connectivity for IoT & IoE, and Big Data are included. Combining both reports, we can identify 5G, Cloud, IoT/IoE, Big Data, and SDN as the five most worthwhile ICTs

22. Robotics
Applications on Data Analytics for Traffic Flow Created by APP’s of SD
Conclusion
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