Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 15, Issue 12, Pages 6344-6353Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2916094
Keywords
Computer architecture; Microprocessors; Resilience; Automata; Biological system modeling; Data processing; Cloud computing; Artificial intelligence; artificial life; bioinspired; cellular automata (CA); cloud; cybersecurity; edge; embryonic; Internet of Everything (IoE); multiagent; resilience
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With the pervasive introduction of Internet of Everything (IoE) technologies, use cases are frequently being found operating within harsh environmental conditions. This decreases the need for solutions that permit service delivery to operate in a highly resilient manner. This paper 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 nonresilient manner. This could be the result of factors such as high node mobility, poor environmental conditions, and unreliable infrastructure from environment disaster or cyber-attack. This biologically inspired architecture uses a purely distributed multiagent approach to provide self-healing and self-organizing properties, modeled on the characteristics of embryonic development and biological cell communication. To permit high levels of a node churn, this multiagent approach uses local-only communication. Probabilistic cellular automata are used to simulate this architecture and evaluate the efficacy of this approach.
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