A task scheduling technique in the cloud computing environment based on bacterial colony optimisation

Cloud computing offers high accessibility, scalability, and flexibility in the modern computing era for various useful applications. Distributing and coordinating tasks to get the best resource usage and prevent overload is a difficult problem. In this research, we suggested a load-balancing (LB) method that minimises makespan and increases resource utilisation by employing novel bacterial colony optimisation (BCO) task scheduling to schedule jobs over the available resources. Aiming to balance load across virtual machines (VMs) according to makespan, cost, and resource utilisation - all of which are constrained by concurrent considerations - the suggested approach also seeks to maximise VM throughput. The CloudSim simulator is used to implement our suggested scheduling strategy. According to the testing results, the algorithms that employed the BCO technique performed better than the other techniques in terms of makespan reduction, low execution time, and average resource usage.