A load balancing scheme based on deep-learning in IoT.
Hye-Young KimJong-Min KimPublished in: Clust. Comput. (2017)
Keyphrases
- load balancing
- deep learning
- replication scheme
- dynamic load balancing
- unsupervised learning
- distributed systems
- unsupervised feature learning
- grid computing
- round robin
- peer to peer
- machine learning
- mental models
- low overhead
- mobile agents
- parallel database systems
- management system
- load balance
- skewed data
- digital libraries
- load balancing strategy
- cloud computing
- graph cuts
- sensor networks
- semi supervised
- data points
- feature extraction
- artificial intelligence