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Computational Intelligence for Green Cloud Computing and Digital Waste Management

Computational Intelligence for Green Cloud Computing and Digital Waste Management

Sana Dahmani (Independent Researcher, Germany)
Copyright: © 2024 |Pages: 19
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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I. Introduction

Digital transformation acts as a stimulus for sustainability through the promotion of innovation, enhancement of resource efficiency and enablement of eco-conscious decision-making. Integrating artificial intelligence (AI) and machine learning (ML) facilitates data analysis for the purpose of identifing inefficiencies and optimizing resource deployment, and reducing energy consumption within buildings, factories, and transportation. Digital platforms support circular economy principles through the minimization of waste through product reuse and sharing. Blockchain enhances supply chain transparency for ethical sourcing, a better ebergy efficiency and the development of smart cities (Parmentola et al., 2021). Digital tools empower individuals to make environmentally conscious choices and suypport organizations to provide optimal sustainable solutions. Smart grid technologies optimize energy distribution and integrate renewable sources, thus, reducing dependancy on fossil fuels. Precision agriculture, enabled by sensors and AI, minimizes resource use through the real-time environmental monitoring which also provides crucial data for informed decision-making, and smart city initiatives optimize urban planning for reduced environmental footprints. To sum up, digital transformation contributes to sustainable development, harmonizing technological advancement with environmental stewardship.

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