Introduction
High Performance Computing and Sustainability Through Artificial Intelligence examines the convergence of high-performance computing (HPC), artificial intelligence (AI), cloud technologies, and cybersecurity in addressing contemporary sustainability challenges. Bringing together current research and practical perspectives from experienced academics and professionals, the book explores how advanced computational frameworks can improve the efficiency, security, and resilience of digital infrastructures while supporting environmentally sustainable development.
The chapters cover emerging trends in big data and cloud computing, AI- and IoT-enabled sustainable agriculture, and comprehensive approaches to cloud security, including risk assessment, security auditing, data protection, and cybersecurity frameworks. The book further examines the role of HPC and AI in reducing carbon emissions, strengthening smart farming systems, and protecting critical cyber-physical infrastructure such as smart power grids. The book also aims to address the ethical and policy considerations associated with deploying intelligent high-performance computing systems in digital ecosystems.
Key Features
- - Integration of HPC, AI, and cloud computing for sustainable digital transformation.
- - Cloud security frameworks, cybersecurity challenges, and data protection strategies.
- - AI- and AIoT-enabled applications for sustainable agriculture and carbon reduction.
- - Cybersecurity solutions for critical infrastructure and smart power grids.
- - Emerging ethical, governance, and policy considerations for AI-driven sustainable computing.
Target Readership :
This book serves as a valuable reference for researchers, graduate students, computer scientists, and professionals working in artificial intelligence, cloud computing, cybersecurity, and sustainable computing.