Energy-aware resource allocation in multi-mode automotive applications with hard real-time constraints

TY - GEN

T1 - Energy-aware resource allocation in multi-mode automotive applications with hard real-time constraints

AU - Dziurzanski, Piotr

AU - Singh, Amit Kumar

AU - Indrusiak, Leandro Soares

PY - 2016/7/18

Y1 - 2016/7/18

N2 - This paper presents an energy aware resource allocation approach that benefits from modal nature of hard real-time systems under consideration. The modal nature of considered applications made it possible to decrease the number of active cores consuming high power in certain modes or to switch into core states with lower power consumption, which lead to considerable energy savings while still not violating any of timing constraints. For the considered automotive use case, the number of required cores has been decreased by up to 75% in a particular mode and relatively low amount of data is to be migrated during the mode change. The trade-off between the amount of data to be migrated and energy dissipation in the subsequent state is also analysed.

AB - This paper presents an energy aware resource allocation approach that benefits from modal nature of hard real-time systems under consideration. The modal nature of considered applications made it possible to decrease the number of active cores consuming high power in certain modes or to switch into core states with lower power consumption, which lead to considerable energy savings while still not violating any of timing constraints. For the considered automotive use case, the number of required cores has been decreased by up to 75% in a particular mode and relatively low amount of data is to be migrated during the mode change. The trade-off between the amount of data to be migrated and energy dissipation in the subsequent state is also analysed.

KW - automotive

KW - hard real-time system

KW - modal systems

KW - task migration

UR - http://www.scopus.com/inward/record.url?scp=84983435915&partnerID=8YFLogxK

U2 - 10.1109/ISORC.2016.23

DO - 10.1109/ISORC.2016.23

M3 - Conference contribution

AN - SCOPUS:84983435915

SN - 9781467390323

SP - 100

EP - 107

BT - Proceedings - 2016 IEEE 19th International Symposium on Real-Time Distributed Computing, ISORC 2016

PB - IEEE

T2 - 19th IEEE International Symposium on Real-Time Distributed Computing, ISORC 2016

Y2 - 17 May 2016 through 20 May 2016

ER -