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Cloud computing is an Internet-provisioned computing paradigm that provides scalable resources for the execution of the end user’s tasks. The cloud users lease optimal resources that meet their demands with minimum cost and time. The cloud service providers need high utilization of cloud resources and minimized execution cost. To achieve high user satisfaction and improve utilization of cloud resources, the task scheduling techniques should be resource and deadline aware and distribute the workload in a balanced manner. A number of heuristic and meta-heuristic-based task scheduling approaches have been proposed; however, the majority of these approaches are not resource and deadline aware. Moreover, these schedulers either optimize a single objective or multiple objectives with non-conflicting parameters. However, there is a need for schedulers that can provide a balanced solution for …