Adaptive Middleware for Synchronization and Learning in Hybrid Edge-Cloud Digital Twins

HDT-Middleware implements an adaptive, cognitive middleware layer designed for Hybrid Digital Twins (H-DTs) that span edge and cloud tiers.It provides: Adaptive synchronization control (dynamic Δt) Context-aware node participation decisions Lightweight telemetry ingestion Federated-learning coordination Policy-driven runtime optimization Full experiment automation (bootstrapping, execution, export, analysis) The middleware is used in research on energy-efficient data-center management, industrial IoT, and distributed digital twins, where runtime variability must be handled automatically and at scale.