An adaptive software-defined networking (SDN) for load balancing in cloud computing

Abstract

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The Internet of Things can be perceived as a collection of millions of devices that are connected among each other and with the internet as a connectivity backbone to acquire and share real-time data for providing intelligent services. The tremendous rise in the number of devices requires an adequate network infrastructure to remotely deal with data orchestration. To overcome this issue, a new approach of infrastructure sharing over the cloud among service providers has transpired, with the goal of lowering excessive infrastructure deployment costs. The software-defined networking (SDN) is a networking architecture that enables network operators and users to monitor and manage the network devices remotely and more flexibly by using software that runs on external servers. As SDN and cloud integration improves reliability, scalability, and manageability, this chapter combines cloud infrastructure with SDN. Although SDN-based cloud networks have numerous advantages as mentioned above, there still exist certain challenges that draw the attention of researchers like energy efficiency, security, load balancing, and so on. The work carried out in this chapter is an attempt to address one of the challenging tasks, namely the load balancing, by developing a new multiple-controller load-balancing strategy. The proposed strategy effectively balances the load even if one or more super controllers fail. Furthermore, results are simulated and compared under different operational environments, both with and without the Modified Bully algorithm. The comparison results ensure that the introduced technique exhibits better performance with metrics such as packet loss, packet transmission ratio, and throughput.