Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning.
Gabriele CastellanoJuan-José NietoJordi LuqueFerran DiegoCarlos SeguraDiego PerinoFlavio EspositoFulvio RissoAravindh RamanPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- meeting scheduling
- multi agent
- clustering algorithm
- cooperative
- distributed systems
- distributed environment
- bayesian networks
- dynamic scheduling
- function approximation
- hierarchical clustering
- scheduling algorithm
- cluster analysis
- mobile agents
- probabilistic inference
- edge detection
- computational grids
- computing environments
- edge information
- model free
- resource allocation
- data clustering
- optimal policy
- scheduling problem
- neural network
- databases
- peer to peer
- resource constraints
- data points
- flexible manufacturing systems
- learning process
- learning algorithm
- multi agent reinforcement learning