1 research outputs found
QoS-Aware Adaptive Service Orchestrations
Service Oriented Computing enables distributed
applications that orchestrate existing services exported by remote
providers. This paradigm requires to explicitly handle possible
changes that may affect the orchestration. They include changes
that impact its functional behavior (e.g., services being retired by
their providers), but also changes in the non-functional behavior
of the orchestrated services (e.g., an increased execution time). In
the past we developed DSOL: it combines a declarative language
to model the orchestration with planning mechanisms to decide at
run-time the best flow of actions. In this paper we extend DSOL
to support QoS attributes and requirements. In particular, we
combine the DSOL planning techniques with a linear optimizer to
calculate the optimal plan w.r.t. the QoS requirements. Moreover,
we leverage the DSOL ability to adapt the orchestration flow at
run-time, to further optimize the QoS perceived by the end users
depending on the actual situations encountered