Self-healing edge computing apparatuses and deployments using dynamic fault tree-based detection and remediation

Abstract

Systems and techniques are provided for self-healing at the edge. A plurality of faults can be detected for an edge device based on monitoring log information of the edge device, with remediation information indicative of remediation actions performed for individual faults or combinations of faults included in the plurality of faults. A hierarchical fault tree data structure can be generated mapping between the plurality of faults and the remediation information, each fault comprising root or child node of the fault tree, and each remediation action comprising a leaf node of the fault tree. An indication of one or more faults can be provided to a self-healing machine-learning or artificial intelligence engine configured to generate a corresponding fault remediation action based on traversing the hierarchical fault tree according to the indicated one or more faults. The fault remediation action can be output for self-healing of the indicated one or more faults.