A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments

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A Triple-Tap Hybrid Load Balancing System (TTHLB) for Health Monitoring System

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Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment

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Task Offloading and Resource Allocation for Fog Computing in NG Wireless Networks: A Federated Deep Reinforcement Learning Approach

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An Analysis of Methods and Metrics for Task Scheduling in Fog Computing

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A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum

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Adaptive Deep Learning Architectures for Real-Time Data Streams in Edge Computing Environments

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Optimized Task Offloading in Multi-Domain IoT Networks Using Distributed Deep Reinforcement Learning in Edge Computing Environments

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