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Computational Intelligence for Green Cloud Computing and Digital Waste Management

Computational Intelligence for Green Cloud Computing and Digital Waste Management
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Author(s): Sana Dahmani (Independent Researcher, Germany)
Copyright: 2024
Pages: 19
Source title: Computational Intelligence for Green Cloud Computing and Digital Waste Management
Source Author(s)/Editor(s): K. Dinesh Kumar (Amrita Vishwa Vidyapeetham, India), Vijayakumar Varadarajan (The University of New South Wales, Australia), Nidal Nasser (College of Engineering, Alfaisal University, Saudi Arabia)and Ravi Kumar Poluru (Institute of Aeronautical Engineering, India)
DOI: 10.4018/979-8-3693-1552-1.ch013

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Abstract

The intersection of environmental protection, Sustainable Development Goals, and the role of information technology (IT) is to foster it. Artificial intelligence addresses environmental challenges, offering solutions such as emissions reduction, cost savings, legal compliance, HR attraction, optimized investments, and waste management. The “three Rs” of green IT emphasize sustainable hardware management through reuse, refurbishment, and recycling. Green IT aligns with broad sustainability and ESG standards and is fostered with innovative AI solutions to integrate and optimize AI-based green computing algorithms which address environmental impacts and data utilization strategies, optimizing energy consumption, and mitigating digital waste and carbon footprint. The conclusion advocates increased use of AI-built technologies for the adoption of renewable energy sources, energy-efficient hardware, hardware optimization, and exploration of external cloud solutions for a more sustainable future.

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