Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge-cloud computing environments.
Amanda JayanettiSaman K. HalgamugeRajkumar BuyyaPublished in: Future Gener. Comput. Syst. (2022)
Keyphrases
- computing environments
- reinforcement learning
- computational grids
- computing platform
- mobile computing
- transfer learning
- cloud computing
- mobile agents
- function approximation
- service discovery
- energy minimization
- energy consumption
- scheduling problem
- grid computing
- markov decision processes
- mobile environments
- pervasive computing
- low bandwidth
- scheduling algorithm
- learning algorithm
- weighted graph
- high performance computing
- state space
- real robot
- mobile robot
- grid systems