An effective deep learning architecture leveraging BIRCH clustering for resource usage prediction of heterogeneous machines in cloud data center.
Sheetal GargRohit AhujaRaman SinghIvan PerlPublished in: Clust. Comput. (2024)
Keyphrases
- data center
- deep learning
- cloud computing
- resource usage
- clustering method
- clustering algorithm
- cost effective
- unsupervised learning
- virtual machine
- k means
- management system
- power consumption
- machine learning
- data sets
- resource management
- resource allocation
- load balancing
- data mining
- data flow
- web services
- data management
- data points
- high dimensional