International Association of Scientific Innovation and Research (IASIR)
Task scheduling is one the most essential study in cloud environments. It is the responsibility of cloud scheduler to arrange jobs in such a way to improve the Quality of Service (QoS) offered with respect to Service Level Agreement (SLA). This paper presents a review of research literatures in the field of task to resource scheduling and optimization using metaheuristic and evolutionary approach in cloud. The paper highlights the various existing scheduling algorithms in cloud environments so as provide an extensive knowledge and ways to improve the throughput, makespan, execution cost, computational complexity, etc.