Name
Abstract | ||
|---|---|---|
The amount of control data flowing across modem communication networks is rapidly increasing. Huge streams of data are flooding the operation and maintenance center (OMC). Thus the operator needs a management system that converts these massive data storms to manageable magnitudes. To achieve this an intelligent alarm filtering system is required to interpret the data stream, thereby simplifying the decision-making process and shortening the operator's reaction time. Such an intelligent tool is the first step on the way to achieving knowledge-based network management. An event correlation tool, called Lucent Correlated Alarm Simulator (LUCAS) has been designed as a prototype for GSM networks. This paper gives an insight into the conception of the tool's architecture and in particular describes the algorithm used for the correlation engine. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/NOMS.2002.1015639 | NOMS |
Keywords | Field | DocType |
cellular radio,correlation methods,digital simulation,knowledge based systems,telecommunication computing,telecommunication network management,GSM networks,LUCAS,Lucent Correlated Alarm Simulator,communication networks,control data,correlation engine algorithm,event correlation tool,expert system,intelligent alarm correlation,intelligent alarm filtering system,intelligent fault management,intelligent tool,knowledge-based network management,management system,operation and maintenance center | Intelligent decision support system,Data stream,Computer science,Expert system,Knowledge-based systems,Fault management,Real-time computing,Event correlation,Intelligent Network,Network management,Embedded system,Distributed computing | Conference |
ISBN | Citations | PageRank |
0-7803-7382-0 | 2 | 0.41 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juergen Kettschau | 1 | 2 | 0.41 |
| Stefan Bruck | 2 | 2 | 0.41 |
| Peter Schefczik | 3 | 2 | 0.41 |