Tag: fog computing

Researchers at the University of Ljubljana present CosmoSpan, a Kubernetes-based platform whose scheduler and deschedulers improve edge-cloud workload placement scores ...

Researchers argue that siloed cyber-physical-human systems in smart cities can be repurposed during disasters, boosting community resilience through containerization, orchestration, ...

Researchers have developed AGRF, an adaptive geo-aware replication framework that dynamically places data replicas across fog nodes to cut latency, ...

Researchers in Pakistan have developed a real-time method that detects machine learning model drift in fog computing healthcare systems without ...

Researchers have combined fog computing simulation with Particle Swarm Optimization to estimate how many IoT devices a Cloud-Fog system can ...

A new comprehensive survey in Cluster Computing systematically compares how deep reinforcement learning algorithms are transforming task scheduling and offloading ...

Researchers have developed an autonomous blockchain-based system that improves intrusion detection accuracy while cutting latency and energy consumption in fog ...

A new survey in Cluster Computing provides the first unified taxonomy of task scheduling and load balancing algorithms across cloud, ...

Researchers have developed AI-TEACH, a multimodal AI framework that detects and scores classroom distraction in real time with 90% accuracy ...