Name
Abstract | ||
|---|---|---|
Service providers typically define quality of service problems using threshold tests such as "Are HTTP operations greater than 12 per second on server XYZ?" This paper explores the feasibility of predicting violations of threshold tests. Such a capability would allow providers to take corrective actions in advance of service disruptions. Our approach estimates the probability of threshold violations for specific times in the future. We model the threshold metric (e.g., HTTP operations per second) at two levels: (1) nonstationary behavior (as is done in workload forecasting for capacity planning) and (2) stationary, time-serial dependencies. Using these models, we compute the probability of threshold violations. We assess our approach using measurements of HTTP operations per second collected from a production web server. These assessments suggest that our approach works well if (a) the actual values of predicted metrics are sufficiently distant from their thresholds and/or (b) the prediction horizon is not too far into the future. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/INM.1999.770691 | Integrated Network Management |
Keywords | Field | DocType |
Internet,computer network management,estimation theory,prediction theory,probability,quality of service,search engines,transport protocols,HTTP operations,Web server,nonstationary behavior,predictive detection,probability estimation,quality of service,service management,service providers,stationary dependencies,threshold metric,threshold test violations | Service management,Workload,Computer science,As is,Computer network,Quality of service,Capacity planning,Service provider,Estimation theory,Web server | Conference |
Citations | PageRank | References |
31 | 5.24 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Hellerstein | 1 | 2136 | 252.24 |
| F. Zhang | 2 | 46 | 8.68 |
| Perwez Shahabuddin | 3 | 1364 | 181.65 |