ENERGYEFFICIENT ALGORITHMS FOR GREEN CLOUD COMPUTING

Abstract

The rising energy consumption of cloud data centres and associated infrastructure poses a critical sustainability challenge for modern computing. “Green cloud computing” seeks to reduce the environmental footprint of cloud services through energyefficient algorithms, resourceaware scheduling, and smart virtualization strategies. This article surveys and analyses stateoftheart algorithms designed for energy efficiency in cloud environments, discusses performance tradeoffs, and proposes bestpractice roadmaps for algorithm adoption in realworld systems. Two illustrative charts depict (1) energy consumption reduction vs. scheduling algorithm sophistication, and (2) carbon emissions savings vs. resource consolidation levels. The article shows that by applying energyaware algorithms—such as VM consolidation, energyaware scheduling, dynamic voltage/frequency scaling (DVFS), and bioinspired optimization—cloud operators can reduce energy use by up to 50 % while maintaining service quality. Key challenges and future research directions are also identified.