Energy-Efficient Algorithms and Systems in Computing : Optimizing Performance and Sustainability Through Advanced Computational Methods / edited by Hicham Gibet Tani, Mohamed Kouissi, Mohamed Ben Ahmed, Boudhir Anouar Abdelhakim, Lotfi Elaachak.

Format:

Book

Author/Creator:

Gibet Tani, Hicham.

Contributor:

Kouissi, Mohamed.

Ben Ahmed, Mohamed.

Abdelhakim, Boudhir Anouar.

Elaachak, Lotfi.

Series:

Studies in Systems, Decision and Control, 2198-4190 ; 629

Language:

English

Subjects (All):

Engineering--Data processing.

Engineering.

Electric power distribution.

Data Engineering.

Energy Grids and Networks.

Local Subjects:

Data Engineering.

Energy Grids and Networks.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Gibet Tani, Hicham Energy-Efficient Algorithms and Systems in Computing

ISBN:

9783032041142

OCLC:

1561170525