Optimize Duplicate Job Scheduling with Grey Wolf Optimizer Algorithm

Managing the computer resources for the quantity of jobs, complexity, dependency, resource starvation, load balancing, and efficiency are the difficulties of parallel computing.The urge to examine various optimization strategies in order to complete tasks without putting oneself in danger is the risk associated with parallel computing.In order to efficiently schedule several jobs with a shorter schedule duration and load balance, the Grey Wolf Optimizer (GWO) algorithm with load balancing approach on parallel processing is provided here.The experimental findings shown that the GWO can reduce computing complexity while effectively balancing the load.