Online scheduling of dependent tasks of cloud's workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based agents.
Ali AsghariMohammad Karim SohrabiFarzin YaghmaeePublished in: Soft Comput. (2020)
Keyphrases
- resource utilization
- virtual machine
- reinforcement learning
- multi agent
- resource management
- load balancing
- scheduling problem
- quality of service
- resource allocation
- intelligent agents
- response time
- multiagent systems
- energy consumption
- cooperative
- multi agent systems
- network resources
- real time
- resource manager
- grid computing
- high availability
- mobile agents
- intelligent systems
- cloud computing
- software agents
- flowshop
- data processing
- video streaming