Self-adaptive autoscaling algorithm for SLA-sensitive applications running on the Kubernetes clusters.
Olesia PozdniakovaAurimas CholomskisDalius MazeikaPublished in: Clust. Comput. (2024)
Keyphrases
- subspace clustering
- clustering algorithm
- experimental evaluation
- high accuracy
- learning algorithm
- detection algorithm
- significant improvement
- synthetic datasets
- neural network
- times faster
- optimization algorithm
- input data
- simulated annealing
- data points
- computational cost
- dynamic programming
- k means
- computational complexity
- objective function
- image segmentation