Bio-Inspired Multi-agent Embryonic Architecture for Resilient Edge Networks

With the pervasive introduction of IoE technologies,
use-cases are frequently being found operating within harsh environmental
conditions. This decrees the need for solutions which
permit service delivery to operate in a highly-resilient manner.
This work presents an architecture for a novel cloud platform
designed for resilient service delivery. It supports networks where
poor communication links or high node failure will cause services
to be delivered in an non-resilient manner. This could be the
result of factors such as high-node mobility, poor environmental
conditions, unreliable infrastructure from environment disaster
or cyber-attack. This biologically inspired architecture uses a
purely distributed multi-agent approach to provide self-healing
and self-organising properties, modelled on the characteristics of
embryonic development and biological cell communication. To
permit high-levels of a node churn, this multi-agent approach
uses local-only communication. Probabilistic Cellular Automata
are used to simulate this architecture and evaluate the efficacy
of this approach.
Index Terms—IoE, Embryonic, Multi-agent, Resilience, Bio-
Inspired, Cloud, Edge, Artificial Life, Artificial Intelligence,
Cybersecurity, Cellular Automata