Machine-Learning Based Performance Estimation for Distributed Parallel Applications in Virtualized Heterogeneous Clusters.
Seontae KimNguyen PhamWoongki BaekYoung-ri ChoiPublished in: ICDCS (2017)
Keyphrases
- machine learning
- distributed processing
- heterogeneous databases
- heterogeneous environments
- distributed information systems
- clustering algorithm
- heterogeneous networks
- loosely coupled
- data analysis
- hierarchical clustering
- parallel execution
- distributed environment
- active learning
- heterogeneous data
- distributed systems
- master slave
- distributed data sources
- decision trees
- parallel processing
- artificial intelligence
- pattern recognition
- machine learning algorithms
- cloud computing
- peer to peer
- heterogeneous systems
- distributed data
- data mining
- machine learning methods
- data center
- distributed memory
- map reduce
- parallel programming
- load balance
- distributed heterogeneous
- shared memory
- fuzzy clustering
- cluster analysis
- power consumption
- parallel algorithm
- load balancing
- operating system
- model selection
- text classification
- text mining
- cooperative
- multi agent
- computer vision
- learning algorithm