Deep Reinforcement Learning for Joint Service Placement and Request Scheduling in Mobile Edge Computing Networks.
Yuxuan DengXiuhua LiChuan SunJinlong HaoXiaofei WangVictor C. M. LeungPublished in: ISCC (2023)
Keyphrases
- reinforcement learning
- multimedia services
- mobile services
- mobile devices
- user mobility
- service requests
- mobile environments
- differentiated services
- mobile users
- network resources
- computing environments
- scheduling problem
- service providers
- value added services
- context aware services
- function approximation
- admission control
- access points
- cellular networks
- network infrastructure
- telecommunications industry
- quality of service
- edge detection
- mobile applications
- state space
- social networks
- mobile computing
- network connectivity
- mobile nodes
- mobile technologies
- service discovery
- web services
- resource allocation
- network structure
- service oriented
- learning algorithm
- scheduling algorithm
- mobile learning
- heterogeneous wireless networks
- mobile networks
- dynamic programming
- qos parameters
- context aware
- optimal policy
- wireless networks
- physical location
- traffic engineering
- user requests
- service oriented architecture
- scheduling policies
- end to end
- complex networks
- wireless technologies