  The paper presents a data-driven model of self-adaptivity for multiparty
sessions. System choreography is prescribed by a global type. Participants are
incarnated by processes associated with monitors, which control their
behaviour. Each participant can access and modify a set of global data, which
are able to trigger adaptations in the presence of critical changes of values.
  The use of the parallel composition for building global types, monitors and
processes enables a significant degree of flexibility: an adaptation step can
dynamically reconfigure a set of participants only, without altering the
remaining participants, even if the two groups communicate.
