Enhanced Cloud Virtualization Based on Offloading Dynamic Switching Scheduling Algorithm Using Optimal Time Desk Task Allocation Model

Cloud computing provides decentralized process to provide various services, having lot of task running depending of service request the server reach more energy consumption, time to complete task, cause burden. So many virtualized scheduling system task takes virtual allocation to complete the task. But the increasing time leads time consumption to complete the workload in the server. To resolve this problem, we propose an Offloading Dynamic Switching Scheduling Algorithm (ODSSA) based on optimal time desk task allocation model to increasing the cloud computing process. Initially the task loading process timing consumption was estimated based on Expected time completion matrix model. Then the time slot is constructed using Min Max Queuing Theory (MMQT). Depends on ETCM and MMQT dynamic switching scheduling algorithm is applied to balance the scheduling task to complete the task using optimal time desk task allocation model. This balances virtual task allocation when the task requires the virtualization task is allocated or other wise to terminate the idle machine to reduce the time and energy consumption. The proposed system achieves high performance compared to the other system as well to allocate the task to reduce the time consumption.