This paper presents a resource allocation approach that benefits from modal nature of hard-real time systems under consideration. The modal nature determines the operational modes of the systems. Thanks to the modal nature of these systems, it is possible to decrease the number of active cores consuming high power in certain modes, leading to considerable energy savings while still not violating any of timing constraints. The proposed approach consists of both offline and on-line steps. More computational intensive steps are performed off-line, whereas only detection of the current mode and mode switching are performed online. In the presented automotive use case, the number of required cores has been decreased up to 75% in a particular mode and relatively low amount of data is to be migrated during the mode change.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.