We address the problem of knowledge acquisition for alarm correlation in a complex dynamic system like a telecommunications network. To reduce the amount of information coming from telecommunications equipment, one needs to preprocess the alarm stream and we propose here a way to acquire some knowledge to do that. The key idea is that only the frequent… (More)
This article falls under the problem of the symbolic monitoring of real-time complex systems or of video interpretation systems. Among the various techniques used for the on-line monitoring, we are interested here in the temporal scenario recognition. In order to reduce the complexity of the recognition and, consequently, to improve its performance , we… (More)
The situation recognition system, to which this paper is devoted, receives as input a stream of time-stamped events; it performs recognition of instances of occurring situations, as they are developing, and it generates as output deduced events and actions to trigger. It is mainly a temporal reasoning system. It is predictive in the sense that it predicts… (More)
The " ALARM " research group has been running two years as a multi-labs group within the French National Program on Artificial Intelligence PRC-IA. The group's objective was to bring together representatives of the academic and industrial worlds in order to analyze , on real applications, the various problems raised by alarm interpretation and to define the… (More)
This paper is dedicated to the chronicle recognition approach used to design an evolution monitoring system for supervising dynamic systems for which time information is relevant. We propose to extend and also to unify the chronicle representation through event counters. The main motivation of such an extension of the chronicle representation arises from… (More)
In this paper we propose a method to pre-process a telecommunication alarm log with the aim of discovering more accurately frequent patterns. In a first step, the alarm types which present the same temporal behavior are clustered with a self organizing map. Then, the log areas which are rich in alarms of the clusters are searched. The sublogs are built… (More)
An optimally working mobile system requires tight cooperation and an information stream that flows impeccably between its components. This, however, is not the current state of the art, as applications and system components must each, in isolation, acquire data, create a knowledge base, and maintain it with diligence. We introduce chronicle recognition to… (More)
We propose a solution to achieve a global self-healing process based on local knowledge of each network element using a model-based diagnosis approach. Then we illustrate this solution in an IMS platform and detail the corresponding causal graph and diagnosis process.