Multi-Cloud based Task Scheduling using Many Objective Intelligent Technique in IoT

The Internet of Things is a vast network that connects various smart devices and things all over the place. The IoT's expansion causes unprecedented data growth, standard methods of information processing or storage are inefficient, and there is a higher danger of security breaches if the data is used maliciously. A platform for high-performance, secure computing is multi-cloud. For the Internet of Things, this work develops a multi-cloud task scheduling model with six goals: time complexity, price, internet traffic, energy usage, resource utilization, and load balancing. The sine function is used to create the model in this study's multi-objective intelligent algorithm, which considers that the population's tendency for variation in diversity strategy is similar to the sine function. The trial findings show exceptional scheduling effectiveness, increasing security. This paper offers a fresh approach to the challenging issue of data processing in IoT.