Energy Efficient Cloud Task Scheduling Policy Using Virtual Machine Concept and VMRRU Technique

Abstract

Cloud computing and its components make use of their combine efforts to process input request to any cloud architecture. Cloud components such as virtual machine (Vm), Cloud Data center (DC), Broker request (BR) and their configurations combined configure a cloud scenario. Cloud computing component makes use of request, resource, and its utilization analysis to process any of the algorithm. It makes usage of resource in proper optimization manner. To provide better quality of services and proper cloud component scheduling, many algorithms have been proposed. Algorithms such as round robin, throttle, Genetic algorithm etc. were proposed by the existing research work. Limitations in such monitoring single level of utilization. They are either concentrating on resource utilization or in energy consumption by their resources for that request process. Further the internal process doesn’t comply with parallel process of monitoring such utilization. In this research, An Advance Algorithm named VMERRU (Virtual machine energy resource request utilization) is proposed. The approach also makes use of utilizing monitoring of energy, resource usage count, input request requirement and matching requirement of assigning DC, and VM to it. Thus, an optimal request handling algorithm with parallel computation is proposed. An implementation is performed using CloudSim API cloud analyst simulator and further computation shows the efficiency of the proposed algorithm.