  Executing multiple applications on a single MPSoC brings the major challenge
of satisfying multiple quality requirements regarding real-time, energy, etc.
Hybrid application mapping denotes the combination of design-time analysis with
run-time application mapping. In this article, we present such a methodology,
which comprises a design space exploration coupled with a formal performance
analysis. This results in several resource reservation configurations,
optimized for multiple objectives, with verified real-time guarantees for each
individual application. The Pareto-optimal configurations are handed over to
run-time management which searches for a suitable mapping according to this
information. To provide any real-time guarantees, the performance analysis
needs to be composable and the influence of the applications on each other has
to be bounded. We achieve this either by spatial or a novel temporal isolation
for tasks and by exploiting composable NoCs. With the proposed temporal
isolation, tasks of different applications can be mapped to the same resource
while with spatial isolation, one computing resource can be exclusively used by
only one application. The experiments reveal that the success rate in finding
feasible application mappings can be increased by the proposed temporal
isolation by up to 30% and energy consumption can be reduced compared to
spatial isolation.

Distributed, Parallel, and Cluster Computing;Multiagent Systems;Networking and Internet Architecture;Systems and Control