License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2017.18
URN: urn:nbn:de:0030-drops-71710
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7171/
Awan, Muhammad Ali ;
Bletsas, Konstantinos ;
Souto, Pedro F. ;
Akesson, Benny ;
Tovar, Eduardo
Mixed-Criticality Scheduling with Dynamic Redistribution of Shared Cache
Abstract
The design of mixed-criticality systems often involves painful tradeoffs between safety guarantees and performance. However, the use of more detailed architectural models in the design and analysis of scheduling arrangements for mixed-criticality systems can provide greater confidence in the analysis, but also opportunities for better performance. Motivated by this view, we propose an extension of Vestal's model for mixed-criticality multicore systems that (i) accounts for the per-task partitioning of the last-level cache and (ii) supports the dynamic reassignment, for better schedulability, of cache portions initially reserved for lower-criticality tasks to the higher-criticality tasks, when the system switches to high-criticality mode. To this model, we apply partitioned EDF scheduling with Ekberg and Yi's deadline-scaling technique. Our schedulability analysis and scalefactor calculation is cognisant of the cache resources assigned to each task, by using WCET estimates that take into account these resources. It is hence able to leverage the dynamic reconfiguration of the cache partitioning, at mode change, for better performance, in terms of provable schedulability. We also propose heuristics for partitioning the cache in low- and high-criticality mode, that promote schedulability. Our experiments with synthetic task sets, indicate tangible improvements in schedulability compared to a baseline cache-aware arrangement where there is no redistribution of cache resources from low- to high-criticality tasks in the event of a mode change.
BibTeX - Entry
@InProceedings{awan_et_al:LIPIcs:2017:7171,
author = {Muhammad Ali Awan and Konstantinos Bletsas and Pedro F. Souto and Benny Akesson and Eduardo Tovar},
title = {{Mixed-Criticality Scheduling with Dynamic Redistribution of Shared Cache}},
booktitle = {29th Euromicro Conference on Real-Time Systems (ECRTS 2017)},
pages = {18:1--18:21},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-037-8},
ISSN = {1868-8969},
year = {2017},
volume = {76},
editor = {Marko Bertogna},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2017/7171},
URN = {urn:nbn:de:0030-drops-71710},
doi = {10.4230/LIPIcs.ECRTS.2017.18},
annote = {Keywords: Mixed Criticality Scheduling, Vestal Model, Dynamic Redistribution of Shared Cache, Shared Last-level Cache Analysis, Cache-aware Scheduling}
}
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Keywords: |
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Mixed Criticality Scheduling, Vestal Model, Dynamic Redistribution of Shared Cache, Shared Last-level Cache Analysis, Cache-aware Scheduling |
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Collection: |
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29th Euromicro Conference on Real-Time Systems (ECRTS 2017) |
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Issue Date: |
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2017 |
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Date of publication: |
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23.06.2017 |
