Green Computing Techniques for Eco-Friendly Data Center Management

Data centers have become the central nervous system of modern civilization, and that role now carries a real environmental cost. Powering generative AI and big data at this scale demands enormous, cooling-intensive infrastructure that can no longer coexist with net-zero business commitments. Green computing treats sustainability as an engineering requirement, integrating it into IT systems from learner AI models to workload orchestration that lets idle hardware power down. Some data centers feed their waste heat back into local heating systems, turning a byproduct of computation into a resource. As data centers become integrated into contemporary society, the need for emerging research that examines how they can be maintained and managed in a sustainable manner remains pivotal. Green Computing Techniques for Eco-Friendly Data Center Management examines how data centers can meet the rising demands of AI-driven computing while achieving net-zero sustainability goals. By unifying domains typically treated in isolation, from cooling infrastructure to software optimization, this book bridges technical design and environmental accountability, proposing granular metrics like carbon usage effectiveness and water usage effectiveness that go beyond standard measures. Covering topics such as clean energy-driven workload scheduling, carbon cost of large language model training, and net-zero data center ecosystems, this book is a fundamental academic resource for graduate and doctoral students, green computing researchers, data center engineers, infrastructure administrators, technology strategy professionals, policymakers, and more.

• Format: Paperback
• Language: English
• ISBN13: 9798260020265
• Release Date: January 1
• Publisher: Igi Global Scientific Publishing
• Length: 408 Pages
• Weight: 1.55 lbs.
• Dimensions: 0.8" x 7.0" x 10.0"