QPAC: SYSTEM AND METHOD FOR HYBRID AI AND RULE-BASED ORCHESTRATION OF COMMUNICATION MODES FOR DISTRIBUTED AND AGENT-BASED SYSTEMS

Abstract

This survey reviews adaptive communication over QUIC for distributed and agent-based systems, focusing on security-first transport design, preservation of session context, and orchestration across request-response, streaming, and publish-subscribe under a single connection.The survey organizes existing approaches along four axes: transport-layer security and auditability, telemetry-driven mode selection, congestion and priority control for multi-stream workloads, and resilience through fallbacks and graceful degradation.Techniques synthesized include authentication and rate/IP hygiene, rules and contextual bandits for mode scoring, decision arbitration, latency/throughput decomposition for online tuning, and priority scheduling on QUIC streams.To ground the taxonomy, the paper also presents a consolidated reference model-QUICPowered Adaptive Communication (QPAC)-comprising an Edge Optimizer, Security Manager, hybrid Rule+ML engine with Decision Arbiter, a Performance Monitor, Intelligent Routing with priority-aware scheduling, and a Security Audit Ledger using Merkle Tree batching for immutable, transparent logging.The survey identifies open challenges in verifiable transport-layer trust, cross-mode QoS guarantees, and audit-cost amortization, and proposes evaluation guidelines for mode-selection accuracy, latency variance under dynamic workloads, and ledger overheads in real deployments.