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Prioritized replay dueling double DQN for intelligent task scheduling in IoT Fog Cloud computing

Naima Jawhar, Adnane Talha, Anas Bouayad • Discover Artificial Intelligence (2026)

Abstract Task scheduling remains a challenge in IoT-Fog-Cloud systems due to dynamic workloads and heterogeneous resources. Ineffective scheduling strategies increase latency, energy consumption, and Service Level Agreement (SLA) violations...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02614-0

IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning

L. Raghavendar Raju, M. Venkata Krishna Reddy, Sridhar Reddy Surukanti, Gudlanarva Sudhakar et al. • Scientific Reports (2026)

Abstract Edge–cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-demand resource allocation. In scenarios with heterogeneous deadlines and varying work...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-41330-8