Cloud Based Smart City Services for Industrial Internet of Things in Software-Defined Networking

Himanshi Babbar, Shalli Rani, Aman Singh, Mohammed Abd-Elnaby and Bong Jun Choi
Additional contact information
Himanshi Babbar: Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India
Shalli Rani: Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India
Aman Singh: Department of Computer Science and Engineering, Lovely Professional University, Kapurthala 144411, Punjab, India
Mohammed Abd-Elnaby: Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Bong Jun Choi: School of Computer Science & Engineering, and School of Electronic Engineering, Soongsil University, Seoul 06978, Korea

Sustainability, 2021, vol. 13, issue 16, 1-13

Abstract: The network session constraints for Industrial Internet of Things (IIoT) applications are different and challenging. These constraints necessitates a high level of reconfigurability, so that the system can assess the impact of an event and adjust the network effectively. Software Defined Networking (SDN) in contrast to existing networks segregates the control and data plane to support network configuration which is programmable with smart cities requirement that shows the highest impact on the system but faces the problem of reliability. To address this issue, the SDN-IIoT based load balancing algorithm is proposed in this article and it is not application specific.Quality of service (QoS) aware architecture i.e., SDN-IIoT load balancing scheme is proposed and it deals with load on the servers. Huge load on the servers, makes them vulnerable to halt the system and hence leads to faults which creates the reliability problem for real time applications. In this article, load is migrated from one server to another server, if load on one server is more than threshold value. Load distribution has made the proposed scheme more reliable than already existing schemes. Further, the topology used for the implementation has been designed using POX controller and the results has been evaluated using Mininet emulator with its support in python programming. Lastly, the performance is evaluated based on the various Quality of Service (QoS) metrics; data transmission, response time and CPU utilization which shows that the proposed algorithm has shown 10% improvement over the existing LBBSRT, Random, Round-robin, Heuristic algorithms.

Keywords: software defined networking; industrial internet of things (IIoT); cloud; smart cities; POX; QoS metrics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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