Capturing a Qualitative Model of Network Performance and Predicting Behavior
Sule O. Ibraheem
Digital Equipment Corporation
Shrewsbury, MA 01545
Mieczyslaw M. Kokar
Department of Electrical and Computer Engineering,
Northeastern University,
Boston, MA 02115, USA
Email: kokar_AT_coe.neu.edu
Lundy Lewis
Cabletron Systems, Inc.,
Nashua, NH 03063
Email: lewis_AT_ctron.com
Abstract
This paper describes a method for constructing behavior models of
communication networks. The method utilizes archived quantitative
performance data created by a network management platform to create a
Quantitative/Qualitative (Q2 Dynamic System representation. The (Q2)
representation captures the predominant qualitative (symbolic) states
of the network, qualitative input events and transitions among the
states resulting from these events. The symbolic model allows the
network manager to understand the current system behavior, and predict
future possible behaviors. We evaluated the method on two sets of
archive data. The method shows promise for use in network management,
including network monitoring, fault detection, prognostication and
avoidance.
Keywords: network performance; qualitative model; network behavior; behavior
prediction
JNSM: Vol. 6, No. 4, 1998
Capturing a Qualitative Model of Network Performance and Predicting Behavior [Vol. 6, No. 4, 1998]
NOTE: only abstract of paper available on-line
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