Intelligent Adaptive Computing Practical Strategies for Dynamic, Self-Optimizing Systems

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English | 21 Dec. 2025 | ASIN: B0G7QHKFP9 | 98 pages | Epub | 1.53 MB
The next generation of computing is not just fast-it's intelligent. Intelligent Adaptive Computing explores how modern systems can perceive, learn, and adapt to changing conditions, user behavior, and environmental data. By combining principles of artificial intelligence, machine learning, and adaptive algorithms, engineers can design computing solutions that continuously improve performance and decision-making. This book guides readers through the concepts, architectures, and strategies behind adaptive systems. Topics include dynamic resource allocation, real-time optimization, self-tuning algorithms, and decision-making under uncertainty. Readers will learn how to design systems that respond intelligently to changes, balance competing objectives, and maintain reliability in unpredictable environments. Through practical examples and case studies, Intelligent Adaptive Computing demonstrates applications across cloud platforms, edge computing, autonomous systems, IoT networks, and enterprise data infrastructures. It provides both theoretical foundations and hands-on guidance, helping engineers, researchers, and technology leaders bridge the gap between conceptual understanding and real-world implementation. Ideal for computer scientists, AI practitioners, systems engineers, and technical leaders, this book equips readers with the tools, methodologies, and mindset needed to engineer computing systems that adapt, evolve, and thrive in a dynamic world.