Big Data Processing using Internet of Software Defined Things in Smart Cities

• Authors
• Authors and affiliations

• Murad Khan
• Javed Iqbal
• Muhammad Talha
• Muhammad Arshad
• Muhammad Diyan
• Kijun Han

• Murad Khan
  • 1
• Javed Iqbal
  • 1
• Muhammad Talha
  • 2
• Muhammad Arshad
  • 3
• Muhammad Diyan
  • 4
• Kijun Han
  • 4
  Email author

1. 1.Department of Computer ScienceSarhad University of Science and Information TechnologyPeshawarPakistan
2. 2.Deanship of Scientific ResearchKing Saud UniversityRiyadhSaudi Arabia
3. 3.Department of Computer ScienceSohar UniversitySoharOman
4. 4.School of Computer Science and EngineeringKyungpook National UniversityDaeguRepublic of Korea

Article

First Online: 25 April 2018

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Part of the following topical collections:

1. Special Issue on Emerging Technology for Software Defined Network Enabled Internet of Things

Abstract

Software Defined Networks (SDN) has been attracting researchers, scientist, and technology experts from both academia and industry to enhance the current ICT stakes and networking paradigm. The beauty of SDN is the division of Control and Data planes and make it easy for the engineers to modify the networking protocols without visiting onsite devices. Similarly, smart cities concept has been coined recently, where a plethora of smart devices will be connected and providing tons of services to the citizens, officials, and governmental departments. The Internet of Things (IoT) plays a vital role in guaranteeing such services. Few efforts have been made to merge SDN and IoT with the sole purpose of efficient Data retrieval and achieve remotely configurable networks. In this paper, we explicitly define the Internet of Software Defined Things architecture and bring it to Smart Cities as a use-case. Our 3-tier architecture consists of Data Collection, Data Management, and Application levels that are further connected via two intermediate levels working on SDN principles. Followed by the potentials of SDN and IoT for Smart Cities, we evaluated our proposed architecture using Spark and GraphX with Hadoop Ecosystem and the results shows that efficient transfer of Data over SDN for real-time processing is achieved.

Keywords

Software Defined Networks Big data analytics Internet of Things Smart devices Smart city 

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Notes

Acknowledgements

This work was supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea (NRF) through the Creative Human Resource Training Project for Regional Innovation (2014). This study was supported by the BK21 Plus project (SW Human Resource Development Program for Supporting Smart Life) funded by the Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea (21A20131600005). This work was supported by the Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia, through the Research Group under Project RG-1437-037.