Don't hurry be green: scheduling servers shutdown in grid computing with deep reinforcement learning.
Lucas Camelo CasagrandeGuilherme Piêgas KoslovskiCharles Christian MiersMaurício Aronne PillonNelson Mimura GonzalezPublished in: Int. J. Grid Util. Comput. (2022)
Keyphrases
- grid computing
- scheduling strategy
- reinforcement learning
- round robin
- computational grids
- load balancing
- grid environment
- utility computing
- resource utilization
- distributed computing
- heterogeneous computing
- resource management
- peer to peer
- computing resources
- resource sharing
- grid resource
- grid systems
- service oriented computing
- computing environments
- data grids
- data intensive
- grid computing environment
- scheduling algorithm
- grid services
- high performance computing
- computing paradigm
- resource allocation
- service oriented
- machine learning
- grid enabled
- grid infrastructure
- databases
- multi agent
- real time
- grid technology
- fault tolerance
- data center
- data grid
- data access
- quality of service
- fault tolerant
- parallel processors