Green Computing for Sustainable Development
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Green computing is a revolutionary technique that addresses environmental sustainability. It uses an eco-friendly approach to the design, manufacture, and use of computing resources. This is achieved by cutting down on electronic waste, using renewable energy sources, and consuming less energy. Recyclable materials with minimal environmental impact, software engineering techniques that are optimized, and energy-efficient hardware are examples of many approaches. Advanced technologies such as low-power processors, smart grids, and virtualized computing environments contribute to energy efficiency and waste reduction. Furthermore, integrating green computing with renewable energy sources amplifies its positive impact on the environment. The adoption of green computing practices promotes a circular economy, encourages resource conservation, and supports climate action.
Green Computing for Sustainable Development features chapters that explore issues that are concerned with furthering sustainability and green computing. Highlights include the following:
This book covers the wide range of principles essential for achieving long-term sustainability. It is a step toward fostering a balanced relationship between technological advancement and environmental stewardship.
Dr. Thipendra P. Singh is a Professor and Head of Department at School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi.
Dr. Niharika Singh is an an Assistant Professor with the Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies.
Dr. Amar Ramdane-Cherif is a Full Professor at University of Versailles, Paris-Saclay, France, where he works in the systems engineering laboratory.
Dr. Ravi Tomar is a Senior Architect at Persistent Systems, India.
Richa Choudhary holds a masters' degree in computer science and engineering and is working towards a doctoral degree in the field of game theory and machine learning.
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