Intelligent Edge Load Migration in SDN-IIoT for Smart Healthcare

Abstract

In present day era use of emerging technologies has given a rise to the healthcare issues. Combination of sensors, the industrial Internet of Things (IIoT), and big data analytics to enhance patient care can lower the healthcare costs. This will enable the patients with more secure, affordable, and rising medical services. Besides problems, such as resource-constrained IoT stuff, identity theft attacks, and malicious insiders, there is a need to address smart healthcare in big data and artificial intelligence using edge computing services. To fix these concerns, we are proposing a software-defined networking (SDN)-based security compliance structure for smart healthcare load migration systems. Toward this end, the use of SDN-IIoT technology for effective and real-time protection against security attacks is being explored by researchers and professionals. In our proposed framework, there are three domains and each domain has one virtual machine and various OpenFlow virtual switches. This scenario helps in migrating the heavily loaded domain healthcare data to the lightly loaded domain to make the domain balanced and prevent the migration from happening any type of security attacks. The RYU SDN controller is used to test the simulations and effectiveness of the performance obtained in the mininet after capturing the OpenFlow packets in Wireshark. Secure data management is achieved through the proposed framework and proposed algorithm gives 80% accurate for all the fetched healthcare data packets.