Methods of determining which components and their capacities within a distributed computing environment are used for a transaction type can be performed faster and more accurately compared to conventional methods. In one embodiment by separating the transaction types into groups, regression can be performed faster on data collected because the data is less “polluted” by some or all other transactions types. Also, selection of transaction types within each group can reduce or eliminate colinearities in data between different transaction types. In still another embodiment, the distributed computing environment can be allowed to catch up between running each group of transaction types. Alternatively, if multiple instances of a component are present, transactions may be routed based on transaction type to reduce the impact. Data processing system readable media can include code that includes instructions for carrying out the methods.