There are a number of difficulties associated with traditional capacit
y planning studies which adopt a 'fix-it-later' approach. An underesti
mation of the costs of remedial action which produces only incremental
improvements is an example of such difficulties. To address these dif
ficulties, a proactive approach is proposed which uses a prediction-ba
sed performance model within a capacity planning framework to recommen
d either the configuration for a new computer system or the reconfigur
ation of an installed system. The model used in the framework predicts
the resource usage of applications, comprising the potential workload
of a system, given the structure of the application programs, the res
ource usage of their basic components, and forecasted workload charact
eristics. This information is used to identify applications which may
compete for certain system resources if they are executed concurrently
in the system. By characterizing the resource usage of the forecasted
workload, the occurrence of capacity problems may be pre-empted. (C)
1997 Elsevier Science B.V.