Cloud computing system is an on demand availability of computing resources, information’s and software over internet. There are three types of cloud computing models such as private, public and hybrid. The main advantages of these system is it’s flexibility, low cost and more secured one. According to the control. Flexibility and management, the cloud can be divided into three models such as Infrastructure as a service, Platform as a service and Software as a service. Task scheduling is plays an major role that properly lines the incoming tasks and schedule it without delay, less power consumption and reduced cost. There are lot of task scheduling techniques and algorithms available. In this paper, an energy efficient Hybrid Genetic whale optimization algorithm is proposed by reducing make span and increasing resource to reduce the power consumption during the scheduling. This algorithm is simulated using cloud sim environment

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