In the progress of the markets and enterprises, cloud computing is considered the novel technology that has a great well-known factor. In cloud computing, the main effort is the allocation of resources. Moreover, for the task, the optimal allocation of resources is that it allocates the optimal appropriate cluster resources to perform in contemplation for various parameters, like scalability, cost, time, availability, resource utilization, throughput, reliability, etc. For the allocation of resources, an optimization algorithm is presented in this paper for the cloud environment through the Hybrid Grey Wolf and Cuckoo Search Algorithm (Hybrid GW-CS). For cloud computing, the hybridization algorithm is on the basis of the resource allocation which accumulates the execution and run time; also it enhances the profits for the cloud provider. Finally, the proposed Hybrid GW-CS based allocation of resource algorithms are evaluated over the conventional PSO, GWO, and CS by exploiting the performance measures like CPU usage rate, profit, and memory usage rate.
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