Paper Info
Title
Big Data Processing using Internet of Software Defined Things in Smart Cities
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.
Year
DOI
Venue
2020
10.1007/s10766-018-0573-y
International Journal of Parallel Programming
Keywords
DocType
Volume
Software Defined Networks, Big data analytics, Internet of Things, Smart devices, Smart city
Journal
48
Issue
ISSN
Citations 
2
1573-7640
0
PageRank 
References 
Authors
0.34
14
6
Name
Order
Citations
PageRank
Murad Khan115022.14
Javed Iqbal25718.77
Muhammad Talha3224.15
Muhammad U. Arshad46724.16
Muhammad Diyan501.35
Kijun Han629456.26