Work-in-Progress: Cache-Aware Partitioned EDF Scheduling for Multi-core Real-Time Systems

Zhishan Guo, Ying Zhang, Lingxiang Wang, Zhenkai Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

As the number of cores and utilization of the system are increasing quickly, shared resources like caches are interfering tasks' execution behaviors more heavily. In order to achieve resource efficiency in both temporal and spatial domains for multi-core real-time systems, caches should be taken into consideration when performing partitions. In this paper, partitioned Earliest Deadline First (EDF) scheduling on a preemptive multi-core platform is considered. We propose a new system model that covers inter-task cache interference and describe some ongoing work in identifying proper partition schemes under such settings.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Real-Time Systems Symposium, RTSS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages384-386
Number of pages3
ISBN (Electronic)9781538614143
DOIs
StatePublished - Jan 31 2018
Event38th IEEE Real-Time Systems Symposium, RTSS 2017 - Paris, France
Duration: Oct 5 2017Oct 8 2017

Publication series

NameProceedings - Real-Time Systems Symposium
Volume2018-January
ISSN (Print)1052-8725

Conference

Conference38th IEEE Real-Time Systems Symposium, RTSS 2017
CountryFrance
CityParis
Period10/5/1710/8/17

Keywords

  • Cache-Aware-Partitioned
  • Multi-Core
  • Real-time-System

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