This paper describes a KPI modeling environment,
coined as Mozart, where modelers can use formal models
to explicitly define the services of KPI and their relationships
which are depicted by KPI net. Mozart provides us
with methods for mining and modeling KPIs and supports
smooth model transformation for generating monitoring applications
based on a model driven approach. It also provide
us with methods for service composition for KPI applications.
We showed how it works with an example scenario
for automobile data and found that “mpg” is most
strongly influenced by four KPIs. The result showed which
KPI should be focused for human monitoring, and it can be
an initial model of monitoring applications.
By: Mari Abe; Jun-Jang Jeng; Yinggang Li
Published in: IEEE/ICEBE 2007, China in 2007
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