Cloud computing is simply define as cloud is delivery of demand services resources everything from application to data centers over the internet on a pay for use basis. In cloud computing load balancing is a technique to distribute the workload for balancing between two or more cloud server. Load balancing technique is defined some cases which are defining as guarantee continuity of the service provided manage, high traffic levels and always be ready for sudden peaks in traffic. Load balancing aims to optimize resource use, maintain the cost of data center and virtual machines, maximize throughput, minimize response time and avoid overload of any single resource. The main objective of this research paper is to reduce cost and response times using throttled load balancing policy across VMs in multi data center and optimise response time service broker policy. This study has evaluated throttled load balancing algorithm and their scheduling criteria like overall response time, Data center processing time and total cost of Virtual Machine and data transfer cost.