Energy efficient VM placement and task scheduling techniques to achieve green cloud environment

Abstract

Continuous increase in the demand for cloud services has resulted in increased workloads. Effective distribution of these augmented tasks on a limited infrastructure for providing the services is a challenging issue. This necessitates servers to run continuously raising the power usage in the data centres. High power consumption results in releasing major amount of CO2 gas to the atmosphere, polluting our natural environment. So, there is a need to think of green cloud computing to reduce this effect of harmful gas to our environment. Designing an energy efficient data centre is a perennial challenge. Hence in this paper, optimal virtual machine placement strategy using knapsack dynamic programming technique and an efficient precedence-based task distribution approach are proposed to alleviate the power consumption and achieve the quality of service maintaining the service level agreements. The implementation results obtained have proved its power efficiency with better quality of service.