Converging Intelligence and Energy Efficiency in Cloud Environment for Efficient Resource Allocation for Sustainable SME Growth
摘要
Convergence is a fusion where two or more entities or systems come together to form a new system. Convergence has emerged as a dynamic enabler for technological fusion in today’s world. This article investigates the convergence of intelligent resource allocation and energy efficiency (green technology) within the cloud computing environment toward sustainable growth of Small and Medium Scale Enterprises (SMEs). By leveraging artificial intelligence and machine learning, businesses, particularly SMEs, can optimize resource utilization, reduce energy consumption, and achieve sustainable growth. The chapter explores various strategies, including energy-efficient data centers, virtualization, renewable energy integration, and intelligent resource allocation algorithms. Additionally, it presents case studies demonstrating how SMEs can benefit from these technologies to enhance efficiency, reduce costs, and improve customer satisfaction. By intervention and convergence of these innovative approaches, businesses can contribute to a more sustainable future while maintaining competitiveness in the digital age.