Bio-Inspired Optimization in Fog and Edge Computing Environments: Principles, Algorithms, and Systems

Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems explores how nature-inspired principles can be applied to provide solutions to complex networked systems, such as the Internet of Things and fog computing. It presents innovative solutions for fog and edge computing, highlighting the role of machine learning and informatics. The book discusses ways of enhancing the performance of fog networks in real-world applications, addressing challenges such as security, privacy, and power consumption. It also examines how fog computing can be used with GIS to improve healthcare, and how virtualization can support fog computing. The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.

Format: Hardback
Length: 252 pages
Publication date: 20 January 2023
Publisher: Taylor & Francis Ltd

A fascinating new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide innovative solutions to complex problems. At the same time, the complexity of systems is increasing due to the emergence of models such as the Internet of Things (IoT) and fog computing. This raises the question: Can complexity science, by harnessing the principles of nature, effectively tackle the challenges posed by highly complex networked systems?

To address this question, Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems offers a comprehensive exploration. It presents cutting-edge, bio-inspired solutions for fog and edge computing, emphasizing the role of machine learning and informatics. Nature- or biological-inspired techniques have proven to be powerful tools for understanding and analyzing collective behavior. This book showcases how algorithms, mechanisms of self-organization found in complex natural systems, have been employed to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature.

The chapters in this book delve into various approaches to enhancing the performance of fog networks in real-world applications through nature-based optimization techniques. They address key challenges and provide practical solutions to concerns such as security, privacy, and power consumption in cloud data center nodes and fog computing networks. Additionally, the book examines how the existing fog and edge architecture can be leveraged to address future challenges. It explores the use of geographical information systems (GIS) with fog computing to improve access to healthcare in urban regions. It also discusses the optimization framework's role in cloud resource management and how fog computing can enhance the quality, quantity, long-term viability, and cost-effectiveness of agricultural production. Furthermore, the book explores the potential of virtualization to support fog computing.

In conclusion, Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems provides valuable insights into the emerging field of complexity science. By applying nature- and bio-inspired principles, it offers innovative solutions to complex problems in fog and edge computing. The book highlights the role of machine learning and informatics in addressing the challenges posed by highly complex networked systems. As the complexity of systems continues to grow, this book will undoubtedly play a pivotal role in shaping the future of this field.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032262901