EP-NCO uses dual-graph GNN embeddings and RL policies to reduce service response time by 46-50% versus metaheuristics in simulated edge-cloud placements.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.DC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
YAIFS turns fog simulations interactive via layered APIs and MCP so heterogeneous agents including LLMs can monitor and adapt placements at runtime.
citing papers explorer
-
Latency-Aware Service Placement using Neural Combinatorial Optimisers for Edge--Cloud Systems
EP-NCO uses dual-graph GNN embeddings and RL policies to reduce service response time by 46-50% versus metaheuristics in simulated edge-cloud placements.
-
YAIFS: Yet (not) Another Intelligent Fog Simulator: A Framework for Agent-Driven Computing Continuum Modeling & Simulation
YAIFS turns fog simulations interactive via layered APIs and MCP so heterogeneous agents including LLMs can monitor and adapt placements at runtime.