Capturing a Qualitative Model of NetworkPerformance and Predicting Behavior

Authors:
Sule O. Ibraheem;MieczyslawM. Kokar;Lundy Lewis
Affiliations:
-;-;-
Venue:
Journal of Network and Systems Management
Year:
1998

Citing 5
Cited 2

SNMP, SNMPv2, and CMIP: the practical guide to network management

SNMP, SNMPv2, and CMIP: the practical guide to network management
Network planning and performance engineering

Network and distributed systems management
Real Time Network Management

Real Time Network Management
Architecture of Systems Problem Solving

Architecture of Systems Problem Solving
Learning to Act using Real-Time Dynamic Programming

Learning to Act using Real-Time Dynamic Programming

Inferring threats in urban environments with uncertain and approximate data: an agent-based approach

Applied Intelligence
Multi-Relational Data Mining

Proceedings of the 2005 conference on Multi-Relational Data Mining

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Abstract

This paper describes a method for constructingbehavior models of communication networks. The methodutilizes archived quantitative performance data createdby a network management platform to create a Quantitative/Qualitative (Q2)Dynamic System representation. The Q2representation captures the predominant qualitative(symbolic) states of the network, qualitative inputevents and transitions among the states resulting from these events. Thissymbolic model allows the network manager to understandthe current system behavior, and predict future possiblebehaviors. We evaluated the method on two sets of archive data. The method shows promise foruse in network management, including network monitoring,fault detection, prognostication andavoidance.