ABSTRACT
Measuring software that is running is a very expensive proposition. The data bandwidth of this process is very large. Unless these data can be filtered in some meaningful way, just the simple task of saving them for future reference can consume a vast number of compute cycles. Data mining onthe-fly will be prohibitively expensive. We must know why we are measuring before we start.
