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Summary: Pro-active Performance Management of Distributed Applications
Alois Ferscha, James Johnson, Gabriele Kotsis
Universitat Wien, Austria
ferscha,johnson,kotsis@ani.univie.ac.at
Cosimo Anglano
Universit a di Torino, Italy
mino@di.unito.it
Abstract
Self-managing systems able to dynamically re-configure
with respect to time-varying workload mixes and chang-
ing system resource availability are of growing importance
in heterogeneous multicomputer environments. Advanced
performance evaluation techniques are needed to induce
and assess the impact of such re-configurations where guar-
anteeing timeliness of reconfiguration activities is particu-
larly challenging. A whole new class of methods supporting
"pro-active" adaptivity based on the predicted system state
at the re-configuration instant are needed to alleviate the
shortcomings of "re-active" systems which bring reconfig-
urations in effect after the system state has changed. In this
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