Improved Efficient Dynamic Resource Optimization for Cloud Computing

Abstract: Computing resources are delivered as virtual machines in cloud computing. Such a scenario, scheduling algorithms play an important role where the aim is to schedule the tasks effectively so as to reduce the response and execution time and improve resource utilization. This was achieved in many scheduling algorithm such as EDFRLS and EDRAP algorithms. But still to improve the more Cloud performance an IEDRO algorithm is used. The proposed IEDRO algorithm gives more resource optimization and improve the speed of cloud at the time of data loading and data accessing. The experimental results show that proposed algorithms exhibit better performance under heavy loads