Self-Healing and Self-Recovering Systems under Spatial Grasp Model.

Abstract

Self-recovery, often mentioned as self-healing and remediation, is an extremely important superpower-like feature of large systems on national, international, and up to the global world levels. It may relate to critical infrastructures covering different areas of human activity, including prosperity, integrity, economy, evolution, and especially security. First of all, the book provides some basic definitions of self-healing and reviews a range of related publications on self-recovery infrastructures and networks, as well as the main network threats. It then investigates and shows how the developed Spatial Grasp model and technology, together with its recursive Spatial Grasp Language (SGL) and its networked interpretation can organize distributed infrastructures with networks of any volumes and topologies to behave in a really self-analyzing, self-healing, self-repairing, actually «immortal» manner. The proposed solution is universal and global, which means that an arbitrary network can effectively self-recover from any damages of nodes and links after any fragmentation into disjoint parts, even if only a single node remains alive. This self-analysis and self-recovery are performed in a fully distributed manner without any central resources, fitting networks that can constantly evolve in time and space. The offered holistic spatial solutions in SGL are extremely compact and clear in comparison with traditional models and languages, usually based on communicating parts or agents. The book relates the obtained solutions to the area of global networks which can cover the whole world, and hints on how to make the results more suitable for practical applications. Some specific solutions under SGT are provided for self-recovery of transport systems, recovery after pandemics, clearing massive debris around the Earth, self-recovering security infrastructures, biological and psychological self-healing, as well as other areas of application.