Agent-based simulation study of behavioral anticipation
Avdhoot Saple, Levent Yılmaz · 2006
Network fault management is concerned with the detection, isolation, and correction of anomalous conditions that occur in a computer network. Present state of art in fault management classifies existing methodologies into two main categories: reactive rule based approaches and intelligent monitoring systems. In this paper we explore the concept of anticipatory behavior to develop an intelligent agent-based network management model, which uses an anticipatory agent to proactively detect occurrence of faults using a predictive model pertaining to network performance. To compare the effectiveness of the anticipatory technique, we build a simulation model of a network using the DEVS framework. Two reactive rule based fault management strategies are compared against the anticipatory approach. Results of the comparative analysis are presented to demonstrate the potential of the anticipatory technique in detecting network anomalies.