2026-07-28T21:16:51Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:8999 2024-03-06T10:43:04Z ddc:004 open_access

A Measurement-Based Model for Parallel Real-Time Tasks Agrawal, Kunal Baruah, Sanjoy multiprocessor federated scheduling parallel tasks work and span mixed criticality Under the federated paradigm of multiprocessor scheduling, a set of processors is reserved for the exclusive use of each real-time task. If tasks are characterized very conservatively (as is typical in safety-critical systems), it is likely that most invocations of the task will have computational demand far below the worst-case characterization, and could have been scheduled correctly upon far fewer processors than were assigned to it assuming the worst-case characterization of its run-time behavior. Provided we could safely determine during run-time when all the processors are going to be needed, for the rest of the time the unneeded processors could be idled in low-energy "sleep" mode, or used for executing non-real time work in the background. In this paper we propose a model for representing parallelizable real-time tasks in a manner that permits us to do so. Our model does not require us to have fine-grained knowledge of the internal structure of the code represented by the task; rather, it characterizes each task by a few parameters that are obtained by repeatedly executing the code under different conditions and measuring the run-times. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Kunal Agrawal and Sanjoy Baruah 2018 Is Part Of LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.ECRTS.2018.5 urn:nbn:de:0030-drops-89999 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.5 eng https://creativecommons.org/licenses/by/3.0/legalcode