Performance Prediction Using Intervals
Jennifer Schopf and Francine Berman
UCSD CSE Technical Report #CS97-541

Accurate performance predictions are difficult to achieve
for applications on production distributed parallel systems.
We address this problem by allowing characteristic application
and system data to be represented as an interval of possible
values.  We use intervals as parameters to a structural modeling
technique, and predict the range of application behavior that
will occur.  We test this approach on a production system using
a distributed SOR code, and demonstrate the resulting additional
information and accuracy resulting from the interval values.