The problem of scheduling cloud resources has been well studied. There are number of traditional techniques exist to perform scheduling, but suffer with higher energy consumption and suffer to achieve QoS performance. To solve this issue, an efficient real time multi factor energy approximation based scheduling scheme is presented in this paper. The method classifies the resources according to their properties like energy consumption, task support and so on. For any task submitted, the method performs the selection of virtual machine according to the underlying resources. For any resource available in the cloud, the method computes different task support measures (TSM) for various resources like CPU, Memory and Bandwidth. Also, for the submitted task, the method computes the task requirement support towards various cloud resources. Using the task support measure, the method performs energy approximation for the resources. Using both the measures, the method performs scheduling of resources according to the requirement support value. The proposed scheme improves the performance of scheduling and reduces the energy utilization and consumption.
Volume 12 | Issue 8
Pages: 210-218
DOI: 10.5373/JARDCS/V12I8/20202466