An unsupervised approach to online noisy-neighbor detection in cloud data centers
By Tania Lorido-Botran, Sergio Huerta, Luis Tomás, Johan Tordsson, B. Sanz. Expert systems with applications, 2017
322 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/4ffacc07565309fbafb8391883c1ff4022a07cc7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Aunn Raza
- Ala Al-Fuqaha
- Hunain Arif
- Amir Hussain
- Junaid Qadir
- Yehia Elkhatib
- Muhammad Usama
- Kok-Lim Alvin Yau
Citations in the corpus
- FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare (2019, unknown): “EEG (electroencephalography) is used to detect seizures [Menshawy et al., 2015; Hiremath et al., 2014].”
- Clustering algorithms: A comparative approach (2016, unknown): “Such methodologies are motivated by their widespread application in diagnosis [10], education [11], forecasting [12], and many other domains [13].”
- Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017, methodology): “[91] GMM GMM is used for detecting the anomalies that are affecting resources in cloud data centers.”