
Автор: Punit Gupta, Dinesh Kumar Saini, Pradeep Singh Rawat
Издательство: CRC Press
Год: 2023
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 31.4 MB
Bio-Inspired Optimization in Fog and Edge Computing Environments covers novel and innovative solutions for Fog and Edge with Machine Learning (ML) and informatics-based technological solutions for various applications. Recently, nature- or bio-inspired techniques have emerged as a successful tool to understand and analyze collective behavior. Algorithms and mechanisms for the self- organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature. What fits more perfectly into this scenario than the rapidly developing era of Fog and Edge computing? A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems? Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question.