Multi-access edge computing in action, Sabella, Dario Reznik, Alex Frazao, Rui

Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture.

Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies.

Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource:

• Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing
• Examines methods to optimize virtualized, pooled, and shared resources
• Identifies potential technical challenges and offers suggestions for possible solutions
• Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management
• Includes access to a website portal for advanced online resources

Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.

Containing contributions from leading researchers from around the world, the book investigates the fundamental aspects and applications of bio-inspired computing and networking. Presenting the latest advances in bio-inspired communication, computing, networking, clustering, optimization, and robotics, the book considers state-of-the-art approaches, novel technologies, and experimental studies, including bio-inspired:

• Optimization of dynamic NP-hard problems
• Top-down controller design for distributing a robot swarm among multiple tasks
• Self-organizing data and signals cellular systems
• Dynamic spectrum access in cognitive radio networks
• QoS-aware architecture for scalable, adaptive, and survivable network systems
• Locomotion control of the Hexapod Robot Gregor III

The book explores bio-inspired topology control and reconfiguration methods, as well as bio-inspired localization, synchronization, and mobility approaches. Providing wide-ranging coverage that includes past approaches, current challenges, and emerging concepts such as the evolution and self-healing of network architectures and protocols, this comprehensive reference provides you with the well-rounded understanding you need to continue the advancement of the development, design, and implementation of bio-inspired computing and networking.