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Integrating Green Infrastructure With AI-Driven Dynamic Workload Optimization for Sustainable Cloud Computing
Abstract
The rapid growth of cloud computing has raised concerns about its environmental impact, particularly in terms of energy consumption and carbon emissions. This chapter explores the integration of green infrastructure with AI-driven dynamic workload optimization to promote sustainable cloud computing practices. By leveraging AI algorithms, cloud service providers can dynamically adjust resource allocation, optimize energy use, and enhance overall operational efficiency. The implementation of green infrastructure, including renewable energy sources and energy-efficient data centers, further supports the reduction of the ecological footprint associated with cloud services. This chapter examines the principles and strategies for achieving synergy between AI technologies and green infrastructure, presenting case studies that demonstrate successful implementations. The findings indicate that this integrated approach not only enhances sustainability but also improves cost-effectiveness and operational resilience, positioning organizations to meet both environmental goals and business objectives.
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