Machine learning for load balancing in the Linux kernel.
Jingde ChenSubho S. BanerjeeZbigniew T. KalbarczykRavishankar K. IyerPublished in: APSys (2020)
Keyphrases
- load balancing
- linux kernel
- machine learning
- dynamic load balancing
- operating system
- software systems
- source code
- distributed systems
- peer to peer
- fault tolerance
- grid computing
- load balance
- analysis tool
- fault tolerant
- mobile agents
- load distribution
- low overhead
- load balancing strategy
- resource utilization
- data mining
- file system
- round robin
- partial replication
- parallel database systems
- skewed data
- artificial intelligence
- cooperative
- data warehouse
- query processing
- response time
- load balancing strategies
- replication scheme
- high level
- software evolution
- grid environment
- distributed computing
- reinforcement learning
- data structure
- data streams
- data analysis