Green cloud computing: AI for sustainable database management
Management Information Systems, Lamar University, Beaumont, Texas, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 3242-3257
Publication history:
Received on 19 July 2024; revised on 22 September 2024; accepted on 25 September 2024
Abstract:
The exponential growth of digital data has intensified the demand for cloud computing resources, leading to increased energy consumption and environmental concerns. Traditional cloud data centers operate at high energy levels, contributing significantly to carbon emissions and escalating operational costs. Green Cloud Computing (GCC) has emerged as a sustainable solution that integrates energy-efficient technologies, renewable energy sources, and artificial intelligence (AI) to optimize cloud infrastructure. By leveraging AI-driven algorithms, sustainable database management in GCC enhances resource allocation, workload distribution, and predictive maintenance, reducing the overall energy footprint while maintaining performance efficiency. This study explores the role of AI in sustainable database management within the GCC framework, focusing on intelligent workload scheduling, dynamic resource provisioning, and energy-efficient data storage techniques. AI-driven optimization models, such as reinforcement learning and deep learning-based predictive analytics, enable real-time adaptation to fluctuating workloads, ensuring minimal energy wastage. Furthermore, techniques like deduplication, compression, and auto-scaling enhance data storage efficiency while reducing redundancy. However, implementing AI for green cloud management presents challenges, including computational overhead, data security risks, and the need for regulatory compliance. Through an in-depth analysis of case studies and industry best practices, this research highlights how AI-driven sustainable database management can balance environmental responsibility with high-performance computing. The findings advocate for a holistic approach, combining AI innovations, regulatory frameworks, and green infrastructure investments to achieve carbon-neutral cloud ecosystems. By adopting AI-powered sustainability strategies, cloud providers and enterprises can significantly reduce their carbon footprint, ensuring a greener and more resilient digital future.
Keywords:
Green Cloud Computing; Ai Optimization; Sustainable Database Management; Energy-Efficient Cloud; Carbon-Neutral Computing; Smart Resource Allocation
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0