📝 Original Info
- Title: Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
- ArXiv ID: 2601.00339
- Date: 2026-01-01
- Authors: Alaa Saleh, Praveen Kumar Donta, Roberto Morabito, Sasu Tarkoma, Anders Lindgren, Qiyang Zhang, Schahram Dustdar, Susanna Pirttikangas, Lauri Lovén
📝 Abstract
Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function through selfhealing. Inspired by these capabilities, this paper introduces ReCiSt, a bio-inspired agentic self-healing framework designed to achieve resilience in Distributed Computing Continuum Systems (DCCS). Modern DCCS integrate heterogeneous computing resources, ranging from resource-constrained IoT devices to highperformance cloud infrastructures, and their inherent complexity, mobility, and dynamic operating conditions expose them to frequent faults that disrupt service continuity. These challenges underscore the need for scalable, adaptive, and self-regulated resilience strategies. ReCiSt reconstructs the biological phases of Hemostasis, Inflammation, Proliferation, and Remodeling into the computational layers Containment, Diagnosis, Meta-Cognitive, and Knowledge for DCCS. These four layers perform autonomous fault isolation, causal diagnosis, adaptive recovery, and long-term knowledge consolidation through Language Model (LM)-powered agents. The...
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