2026-07-24T06:35:18Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10742 2024-03-06T10:46:35Z ddc:004 open_access

RT-CASEs: Container-Based Virtualization for Temporally Separated Mixed-Criticality Task Sets Cinque, Marcello Della Corte, Raffaele Eliso, Antonio Pecchia, Antonio Containers mixed-criticality temporal separation monitoring This paper presents the notion of real-time containers, or rt-cases, conceived as the convergence of container-based virtualization technologies, such as Docker, and hard real-time operating systems. The idea is to allow critical containers, characterized by stringent timeliness and reliability requirements, to cohabit with traditional non real-time containers on the same hardware. The approach allows to keep the advantages of real-time virtualization, largely adopted in the industry, while reducing its inherent scalability limitation when to be applied to large-scale mixed-criticality systems or severely constrained hardware environments. The paper provides a reference architecture scheme for implementing the real-time container concept on top of a Linux kernel patched with a hard real-time co-kernel, and it discusses a possible solution, based on execution time monitoring, to achieve temporal separation of fixed-priority hard real-time periodic tasks running within containers with different criticality levels. The solution has been implemented using Docker over a Linux kernel patched with RTAI. Experimental results on real machinery show how the implemented solution is able to achieve temporal separation on a variety of random task sets, despite the presence of faulty tasks within a container that systematically exceed their worst case execution time. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Marcello Cinque and Raffaele Della Corte and Antonio Eliso and Antonio Pecchia 2019 Is Part Of LIPIcs, Volume 133, 31st Euromicro Conference on Real-Time Systems (ECRTS 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.ECRTS.2019.5 urn:nbn:de:0030-drops-107426 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2019.5 eng https://creativecommons.org/licenses/by/3.0/legalcode