Journal of Computer Science & Systems Biology

Energy-efficient Scheduling Algorithms for Green Cloud Computing

Abstract

Hendrik B ustos*

With the rapid growth of cloud computing, energy consumption in data centers has become a significant concern due to its environmental impact and operational costs. Green cloud computing aims to minimize energy consumption and carbon emissions by employing energy-efficient technologies and practices. Scheduling algorithms play a crucial role in optimizing resource utilization and reducing energy consumption in cloud environments. This research article explores various energy-efficient scheduling algorithms for green cloud computing, including task scheduling, virtual machine allocation, and workload consolidation techniques. We discuss the underlying principles, challenges, and opportunities of these algorithms, along with practical implementations and case studies demonstrating their effectiveness in improving energy efficiency and sustainability in cloud data centers.