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The efficiency and proper utilization of cloud environments depends on the balancing of load. The limited number of resource and on demand access of resource creates the situation of overloading. The process of overloading degraded the performance of cloud environments. Now days used various swarm based algorithm for load balancing. In this paper proposed coupling based load balancing model based on BEE scout. The BEE scout model coupled the virtual machine during the allocation of resource.. The scout based technique basically used the concept of sharing of virtual machine. The shared virtual machine allocated the job in dedicated time period for the execution of process. The proposed model simulated in cloudsim simulator and used various parameters such as data center, number of user base and many more. The proposed model simulate in cloudsim simulator.

The management of resources and request in cloud environment is big challenging task. The unbalanced scenario of resources and request raised situation of overloading and degraded the performance of cloud environment. Now a day's various authors used load balancing technique for the improvement of the cloud environment. For the balancing of load used load policy on the basis of static and dynamic nature. The static load balancing technique used CPU scheduling algorithm such as a round robin, first come first serve and shortest job first. All these technique is not schedule job in proper manner and the performance of cloud is degraded. Instead of these technique dynamic balancing used heuristic based technique such as ant colony optimization, particle swarm optimization and many more swarm based algorithm. now a day some authors used probability and time quantum based scheduling technique for cloud environment. In this paper present the review of load balancing technique for cloud environment.