Energy-Efficient Algorithms and Systems in Computing

This book delivers cutting-edge research focused on reducing energy consumption across computing systems while maintaining performance and scalability. It presents novel methods and architectures that advance the field of sustainable and green technologies. Contributions span topics such as low-power algorithms, green cloud infrastructures, energy-aware IoT systems, and intelligent optimization techniques. Selected from the best papers of SCGT'2025, each chapter offers deep technical insights and practical applications. Aimed at researchers, engineers, and system designers, this book is a valuable resource for building environmentally sustainable computing infrastructures.

Examines the challenges of building energy-efficient data centers and using big data for energy management Includes Real-world case studies and examples highlights emerging trends, such as energy-aware networking and AI-driven renewable energy integration

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Integrating Blockchain into sustainable smart city services: Motivations and challenges.- A Fuzzy Logic-Based Approach For Real-Time Fault Detection In Photovoltaic Systems.- Energy-Efficient COPD Detection Using an Optimized Deep Learning Model for Medical Systems.