[EN] Several exceptional situations may arise in the complex, heterogeneous, and changing contexts
where Web service operations run. For instance, a Web service operation may have
greatly increased its execution time or may have become unavailable. The contribution
of this article is to provide a tool-supported framework to guide autonomic adjustments
of context-aware service compositions using models at runtime. During execution, when
problematic events arise in the context, models are used by an autonomic architecture to
guide changes of the service composition. Under the closed-world assumption, the possible
context events are fully known at design time. Nevertheless, it is difficult to foresee
all the possible situations arising in uncertain contexts where service compositions run.
Therefore, the proposed framework also covers the dynamic evolution of service compositions
to deal with unexpected events in the open world. An evaluation demonstrates that
our framework is efficient during dynamic adjustments.Alférez-Salinas, GH.; Pelechano Ferragud, V. (2017). Achieving autonomic Web service compositions with models at runtime. Computers & Electrical Engineering. 63:332-352. doi:10.1016/j.compeleceng.2017.08.004S3323526
