Name
Title | ||
|---|---|---|
Predicting cloud-native application failures based on monitoring data of cloud infrastructure |
Abstract | ||
|---|---|---|
The quality of service provided by cloud-deployed online applications is often affected by faults in the underlying cloud platform and infrastructure. In order to discover the cause and effect at application failures, a cloud monitoring system must be in place. The sheer amount of the produced monitoring data calls for smart and automatic handling in order to find the patterns that can be used for... |
Year | Venue | Keywords |
|---|---|---|
2021 | 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) | Data analysis,Pipelines,Time series analysis,Quality of service,Machine learning,Real-time systems,Data models |
DocType | ISBN | Citations |
Conference | 978-3-903176-32-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| László Toka | 1 | 55 | 14.49 |
| Gergely Dobreff | 2 | 0 | 0.34 |
| David Haja | 3 | 13 | 4.57 |
| Márk Szalay | 4 | 11 | 5.59 |