Name
Abstract | ||
|---|---|---|
The ability to understand application performance and pro-actively manage system state is becoming increasingly important as infrastructure services move toward commodisation models such as cloud computing. The complexity of systems being monitored in large corporations means that detailed component-by-component analysis and/or simulation of behaviour can be impractical. The key problem is to find... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNSM.2017.2771403 | IEEE Transactions on Network and Service Management |
Keywords | Field | DocType |
Anomaly detection,Monitoring,Business,Measurement,Standards,Servers,Degradation | Data science,Information Technology Infrastructure Library,Anomaly detection,Business process,Computer science,Profiling (computer programming),Performance measurement,IT service management,Systems management,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
15 | 1 | 1932-4537 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard Gow | 1 | 2 | 0.73 |
| Fethi Rabhi | 2 | 427 | 50.68 |
| SRIKUMAR VENUGOPAL | 3 | 4236 | 294.23 |