Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm.
Ali AsghariMohammad Karim SohrabiFarzin YaghmaeePublished in: J. Supercomput. (2021)
Keyphrases
- load balancing
- scientific workflows
- load balancing strategy
- reinforcement learning agents
- dynamic load balancing
- grid computing
- reinforcement learning
- load balance
- cloud computing environment
- parallel database systems
- load balancing strategies
- distributed systems
- grid environment
- dynamic environments
- data skew
- peer to peer
- pc cluster
- fault tolerance
- mobile agents
- scientific data
- parallel processing
- semantic annotation
- function approximation
- state abstraction
- service oriented
- scheduling algorithm
- multi agent
- web services
- data grids
- workflow systems
- data mining
- markov decision processes
- parallel algorithm
- resource management
- wireless sensor networks
- transfer learning
- active learning
- data analysis
- search algorithm
- learning algorithm
- database