The varied mix of resources in cloud data centres presents substantial issues for scheduling in distributed computing environments, especially in the context of cloud computing. The dynamic fluctuations in the number of users and their demands add to the complexity. In order to meet these issues, a scheduling technique that can adjust to the inherent heterogeneity in resource distribution must be developed, with the ultimate goal of minimising request completion times