Leveraging towards Multi-objective IoT Application Placement in Fog Computing Environment
Hemant Kumar Apat, Pranati Sattarapu, Rudra Narayan Dash, Veena Goswami, Sagarika Mohanty, Rabindra Kumar Barik · 2023
Internet of Things (IoT) is one of the most talked-about innovations of recent years because it paves the way for novel interactions between devices and people that can improve daily life. Interconnected devices are generating an unprecedented amount of data due to the growth of IoT devices. When it comes to processing the data of IoT applications, a new paradigm known as fog computing is developing as an intriguing alternative. To leverage the maximum benefit optimal deployment of services into the fog computing devices has paramount importance. To find the optimal placement of services into the heterogeneous fog computing is a NP complete problem. In the present work, we implement genetic algorithm with Multi-objective IoT applications placement to minimise the three important parameters i.e. makespan, energy and cost. It also presents a comparison with the placement of single objective IoT applications. The findings indicate that employing Multi-objective placement approaches yields greater benefits in comparison to utilising a single objective placement strategy.