Profit and energy aware scheduling in cloud computing using task consolidation

Abstract

Cloud computing systems rent resources on demand, pay-as-you-go basis, and multiplex many users on the same physical infrastructure. However the revenue of cloud computing is get affected by various factors such as QoS constraints, Energy consumption etc., Energy Aware Task Consolidation technique is used to allocate the tasks dynamically on virtual clusters which aims to minimize energy consumption. This is achieved by consolidating tasks on virtual clusters by keeping the CPU utilization below a peak threshold value of 70% The task consolidation is done by using bestFit strategy. The revenue of cloud provider can be improved by increasing the profit yielded by the incoming task. The profit can be increased by allocating the task to the appropriate VM which executes the task with minimum cost and without violating the QOS constraints. In this work, Profit and Energy aware Task Consolidation method is proposed to allocate the task to the appropriate VM that yields more profit and less energy consumption to the data center.