Supervised Performance Anomaly Detection in HPC Data Centers.
Mohamed Soliman HalawaRebeca P. Díaz RedondoAna Fernández VilasPublished in: AMLTA (2019)
Keyphrases
- anomaly detection
- data center
- energy efficiency
- high performance computing
- unsupervised learning
- cloud computing
- intrusion detection
- cost effective
- detecting anomalies
- power consumption
- energy consumption
- network intrusion detection
- virtual machine
- supervised learning
- anomalous behavior
- network traffic
- learning algorithm
- semi supervised
- intrusion detection system
- unsupervised anomaly detection
- machine learning
- network anomaly detection
- traffic engineering
- network security
- multi tenant
- detecting anomalous
- carbon dioxide
- computing resources
- one class support vector machines
- detect anomalies
- sensor networks
- image segmentation
- cumulative sum
- feature selection
- data sets
- object recognition
- wireless sensor networks
- low cost
- data processing
- expectation maximization