  A master-worker architecture is presented for obtaining combined experimental
results through joint fits of datasets from several experiments. The design of
the architecture allows such joint fits to be performed keeping the data
separated, in its original format, and using independent fitting environments.
This allows the benefits of joint fits, such as ensuring that correlations are
correctly taken into account and better determination of nuisance parameters,
to be harnessed without the need to reformat data samples or to rewrite
existing fitting code. The Jfit framework is a C++ implementation of this idea
in the Laura++ package, using dedicated classes of the ROOT package. We present
the Jfit framework, give instructions for its use, and demonstrate its
functionalities with concrete examples.
