Energy Efficiency Task Re-scheduling in Virtualized Cloud Computing

Abstract

Reduced energy consumption is an important goal for virtualized cloud computing systems since it has the potential to improve system efficiency, save operating costs, and lessen environmental impact. These objectives can be achieved by using an energy-efficient approach to job scheduling. The huge challenge lies in coordinating user demands with available cloud resources in a way that maximizes performance while reducing energy usage, all within the time frame that the user specifies. This article suggests a novel method called Energy Efficient Task Re-scheduling (EETRS) for a heterogeneous virtualized cloud environment as a solution to the problem of energy usage. The first step of the suggested approach assigns jobs strictly according to due dates, ignoring energy consumption. Task reassignment scheduling determines the optimal execution location within the deadline constraints while minimizing energy consumption in the second stage of the proposed method, which speeds up execution and meets deadlines. According to the simulation results, the suggested technique helps to significantly reduce energy use and boost performance by 5% while satisfying deadline constraints, in comparison to the current energy-efficient scheduling methods of EPETS, AMTS, and EPAGA. The proposed method outperforms the existing one with less than 1% total execution time, a reduction of 14% in total execution cost, a 3% decrease in energy consumption, and a 3% reduction in average resource utilization.