[ES] Analizar el impacto de permitir que las tareas de tiempo real puedan migrar su ejecución
de un core a otro, sobre el consumo en sistemas empotrados multicore.[EN] A major design issue in embedded systems is reducing the power consumption since
batteries have a limited energy budget. For this purpose, several techniques such as
Dynamic Voltage and Frequency Scaling (DVFS) or task migration are being used.
DVFS circuitry allows reducing power by selecting the optimal voltage supply, while
task migration achieves this effect by balancing the workload among cores.
This work focuses on power-aware scheduling allowing task migration to reduce energy
consumption in multicore embedded systems implementing DVFS capabilities. To
address energy savings, the devised schedulers follow two main rules: migrations are
allowed at specific points of time and only one task is allowed to migrate each time.
Two algorithms have been proposed working under real-time constraints. The simpler
algorithm, namely, Single Option Migration (SOM) only checks one target core before
performing a migration. In contrast, the Multiple Option Migration (MOM) searches
the optimal target core.
In general, the MOM algorithm achieves better energy savings than the SOM algorithm,
although differences are wider for a reduced number of cores and frequency/voltage
levels. Moreover, the MOM algorithm reduces energy consumption as much as 40% over
the typical Worst Fit (WF) strategy.March Cabrelles, JL. (2012). A Dynamic Power-Aware Partitioner with Real-Time Task Migration for Embedded Multicore Processors. http://hdl.handle.net/10251/29847Archivo delegad