RETRACTED: Workflow task scheduling for homogeneous environments on multiprocessing based on IoT variant of beta artificial bee colony

Abstract

In the present era of supercomputing, the efficient scheduling of tasks is the first priority of the IoT and cloud service provider. Their objective is to utilize the maximum resource in order to fulfill various clients' requests. The scheduling of task on multiple processors increases change of underutilization of resources. Hence, this demand‐efficient scheduling algorithm that fulfills computer service provider's demands. This paper proposes a modified artificial bee colony algorithm for scheduling of multiple tasks on multiple processors by introducing crossover operation in employee bee phase to reduce the slow convergence rate. This proposed approach is tested on various scenarios in which there exist condition dependency among the tasks exists. The experimental results reduced the proposed approach to reduce the overall makes pan on an average by 15.37%.