This article briefly presents some of our recent research in distributed continuous performance analysis. In general this work pushes substantial parts of performance analysis out of developer laboratories and onto remote, end-user machines.To do this effectively we have found it useful to recast performance analysis as a model-based experimental design and execution problem.Our experience suggests that this approach has merit, but that much future work remains to be done. We therefore discuss some of the limitations of our current efforts and describe some plans for future work.
['Alan F. Karr', 'Adam A. Porter']
Distributed performance testing using statistical modeling