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In cloud computing environments, when a client wants to access any resources, hardware components, or application services, he needs to get a subscription for the same from service providers. The usages of each client are monitored over a network by service providers and later on user will be charged for the services used. Cloud service provider is responsible for providing Quality of Service to clients. As the number of client request increases in cloud environment, cloud service providers face various issues such as scheduling and allocation of resources, security, privacy and virtual machine migration. Swarm intelligence, biological systems, physical and chemical systems based metaheuristic algorithms have proved to be efficient and used to solve real world scheduling optimization problems. This review focused on the insight view of various nature-inspired metaheuristic algorithms and their comparisons on …