Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning.
Qinglan PengWanbo ZhengYunni XiaChunrong WuYin LiMei LongXiaobo LiPublished in: CollaborateCom (2) (2020)
Keyphrases
- reinforcement learning
- loosely coupled
- workflow management
- web services
- service oriented
- virtual enterprise
- scheduling problem
- service provisioning
- service providers
- service architecture
- configuration management
- cloud computing
- computing environments
- service oriented architecture
- grid infrastructure
- scheduling policies
- grid services
- seamless integration
- admission control
- function approximation
- scheduling algorithm
- resource allocation
- workflow engine
- workflow execution
- cloud services
- business processes
- capacity allocation
- multi agent
- vehicular networks
- workflow technology
- workflow management systems
- network infrastructure
- mission critical
- workflow systems
- public services
- grid environment
- machine learning
- data flow
- service discovery
- service composition
- information services
- optimal policy
- learning algorithm
- semantic web services
- service level agreements
- agent architecture
- shared information
- markov decision processes
- dynamic programming