Abstract - Technical Program - ID 99
Preprocessor Algorithm for Network Management Codebook
Minaxi Gupta and Mani Subramanian, Georgia Institute of Technology
As the size of networks increases, real-time fault
management becomes difficult due to the volume of traffic. A single problem
can generate numerous symptoms, which are received as events by a network
management system. These events could be correlated to deduce the source of
the problem. One of the correlation techniques used is codebook
approach, developed by Yemini et. al. Codebook is a matrix relating problems
with symptoms. We present a way to transform the original algorithm used in
deriving the codebook. Our algorithm improves the efficiency by reducing the
matrix as well as by ensuring the selection of minimum number of symptoms
required to uniquely identify each problem in the codebook. This avoids an
exponential growth in the number of symptoms as number of problems increase,
which in turn shows up as saving in real-time processing.
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