Self-Recovering Networks under Spatial Grasp Technology
Peter Simon Sapaty · Mathematical machines and systems · 2025
Self-recovery, often mentioned as self-healing and remediation, is an extremely important su-perpower-like feature of large systems on national, international, up to the global level. As any systems, especially large and distributed, can often be represented in a network form, with nodes as their components and links as communications in between, the recovery of any sys-tems may be considered first of all as the recovery of their network structures. And this recov-ery may often need using mostly internal system resources with minimum external intervention, supplement, or control, as other systems may have problems too and be unable to share their resources. The paper investigates and shows in detail how the developed Spatial Grasp Model and Technology with its recursive Spatial Grasp Language can organize distributed networks of any volumes and topologies to behave in a really self-healing, self-repairing, actually «immor-tal» manner. It offers a universal solution where all networked nodes, being potentially active, can cooperatively provide network analysis to the reasonable depth from each of them, share the results by subsequently supplying each node with the full description of the whole network, and then use this description to collectively restore the whole network from any damages if at least a single node still remains alive. This solution uses spatially controlled unique supervirus-like flexibility and self-replication of SGL scenarios, freely migrating between network nodes using only local communications among them. The paper also provides practical recommendations of how to use the offered self-recovery solution for huge networks, and shows how to additionally involve other critical infrastructures in case of complex crises and problems in social systems.