Design & Implementation Modified Dynamic Adaptive Traffic Scheduling Algorithm in Cloud Computing

Load balancing is the foremost concern in the cloud computing environment. Cloud includes of numerous hardware and software resources and management, these will play a significant role in performing a client's request. Overcoming the problem of ensnared into local optimum throughout resource allocation process. To proposed modified dynamic adaptive traffic scheduling algorithm for resource allocation, in the purpose of load balancing in cloud computing, in demand to maximizing the throughput expending, well balanced load across virtual machines. The evaluation of experimental results specifies our method in high-volume data for resource distribution, in cloud scheduler has improved performance than two other methods. The performance is evaluated using Cloud Analyst simulator and compared with existing Round Robin, equally spread current execution load and throttled algorithms. Simulation results have proved that the proposed algorithm has distributed the load consistently among virtual machines.