Details
| Original language | English |
|---|---|
| Pages | 197-204 |
| Number of pages | 8 |
| Publication status | Published - 1997 |
| Event | 1997 5th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS'97 - Haifa, Isr Duration: 12 Jan 1997 → 15 Jan 1997 |
Conference
| Conference | 1997 5th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS'97 |
|---|---|
| City | Haifa, Isr |
| Period | 12 Jan 1997 → 15 Jan 1997 |
Abstract
Though cellular phone networks already contain intelligent network elements diagnosing local faults, alarm bursts caused by network element failures cannot be handled properly by this technology. It is the responsibility of the operators to extract the relevant alarms from such a burst and identify the cause. To assist the operators, several alarm correlation tools have been developed. The current paper introduces a model-based solution to the problem of alarm correlation. We use an abstract simulation model to predict the propagation of alarm messages through the network. By comparing the predicted behavior with the actual alarm pattern, the cause of the alarms is identified. The paper describes the model and its implementation using the diagnosis system DRUM-II.
ASJC Scopus subject areas
- Mathematics(all)
- Modelling and Simulation
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1997. 197-204 Paper presented at 1997 5th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS'97, Haifa, Isr.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Model-based alarm correlation in cellular phone networks
AU - Froehlich, Peter
AU - Nejdl, Wolfgang
AU - Jobmann, Klaus
AU - Wietgrefe, Hermann
PY - 1997
Y1 - 1997
N2 - Though cellular phone networks already contain intelligent network elements diagnosing local faults, alarm bursts caused by network element failures cannot be handled properly by this technology. It is the responsibility of the operators to extract the relevant alarms from such a burst and identify the cause. To assist the operators, several alarm correlation tools have been developed. The current paper introduces a model-based solution to the problem of alarm correlation. We use an abstract simulation model to predict the propagation of alarm messages through the network. By comparing the predicted behavior with the actual alarm pattern, the cause of the alarms is identified. The paper describes the model and its implementation using the diagnosis system DRUM-II.
AB - Though cellular phone networks already contain intelligent network elements diagnosing local faults, alarm bursts caused by network element failures cannot be handled properly by this technology. It is the responsibility of the operators to extract the relevant alarms from such a burst and identify the cause. To assist the operators, several alarm correlation tools have been developed. The current paper introduces a model-based solution to the problem of alarm correlation. We use an abstract simulation model to predict the propagation of alarm messages through the network. By comparing the predicted behavior with the actual alarm pattern, the cause of the alarms is identified. The paper describes the model and its implementation using the diagnosis system DRUM-II.
UR - http://www.scopus.com/inward/record.url?scp=0030788818&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0030788818
SP - 197
EP - 204
T2 - 1997 5th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS'97
Y2 - 12 January 1997 through 15 January 1997
ER -