Multi-layered scheduling of mixed-criticality cyber-physical systems

Schneider, Reinhard; Goswami, Dip; Masrur, Alejandro; Becker, Martin; Chakraborty, Samarjit

doi:10.1016/j.sysarc.2013.09.003

Cited by 34 publications

(12 citation statements)

References 34 publications

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“…Not surprisingly it has been noted that many CPS are also MCS. For example Schneider et al [2013] note that many CPS contain a combination of deadline-critical and QoS-critical tasks. They propose a layered scheme in which QoS is maximised while hard deadline tasks are guaranteed.…”

Section: Cyber Physical Systems and Internet Of Thingsmentioning

confidence: 99%

A Survey of Research into Mixed Criticality Systems

2017

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This survey covers research into mixed criticality systems that has been published since Vestal's seminal paper in 2007, up until the end of 2016. The survey is organised along the lines of the major research areas within this topic. These include single processor analysis (including fixed priority and EDF scheduling, shared resources and static and synchronous scheduling), multiprocessor analysis, realistic models, and systems issues. The survey also explores the relationship between research into mixed criticality systems and other topics such as hard and soft time constraints, fault tolerant scheduling, hierarchical scheduling, cyber physical systems, probabilistic real-time systems, and industrial safety standards. CCS Concepts: •Computer systems organization → Real-time system specification; •Software and its engineering → Real-time schedulability; Real-time systems software;

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Section: Cyber Physical Systems and Internet Of Thingsmentioning

confidence: 99%

A Survey of Research into Mixed Criticality Systems

2017

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“…Compared to common deadline-driven scheduling methods, scheduling MCCPS needs a combination of QoC-driven and timing-driven methods, which causes a challenging scheduling problem. To tackle this problem, Schneider et al 60 proposed a multilayered scheduling algorithm for MC CPS composed of feedback control tasks and HRT tasks. The proposed algorithm integrates timing analysis methods based on RTC 108 to an MLS framework.…”

Section: Speci¯c Applications In MC Systemsmentioning

confidence: 99%

A Review of Recent Techniques in Mixed-Criticality Systems

Chai

Zhang

Sun

et al. 2019

J CIRCUIT SYST COMP

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Unlike traditional embedded systems that almost have only one criticality level, many complex embedded systems nowadays are mixed-critical and are more and more widely used. There has been a lot of research on mixed-criticality (MC) systems. In this paper, we present a survey on the MC systems on these research. First, we discuss the exaltation of the schedulability of MC systems. As improving schedulability may lead to quality-of-service (QoS) reduction of MS systems. Therefore, we investigate the approaches to solve this problem. Improving QoS of MS systems may inevitably increase the energy consumption. Then, we introduce the researches that take the energy efficiency as a design requirement of MC systems. Few MC systems regard fault-tolerance as the design requirement, thus, we extensively investigate fault-tolerance of MC systems. In addition, we introduce some of the main applications for MC systems.

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“…Payload-Size and Deadline-Aware [36] Traffic-sensitive real-time scheduling algorithm. Multi-layered scheduling [37] Multi-layered scheduling scheme for time and control critical tasks. Adaptive Dynamic Scheduling for automotive CPS [38] Adapt.…”

Section: Workmentioning

confidence: 99%

“…In addition, the independent functioning of the nodes which could have their own workload makes those schemes difficult to apply in practice. The current proposals for CPS environments provide different contributions and aim to include additional methods to overcome these issues such as different criticality level of the tasks [37][38][39]47], mathematical techniques [27,35,44], agents [41], and control mechanisms [46]. Other works deal with network and physical dynamic issues [36,40,42,43].…”

Section: Workmentioning

confidence: 99%

Distributed computational model for shared processing on Cyber-Physical System environments

Mora

Colom

Gil

et al. 2017

Computer Communications

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  A computation model to distribute the application workload over the CPS is proposed.  The scheduling method dynamically shares the tasks among the computing nodes of the CPS.  This approach facilitates the networking and integration of heterogeneous computer devices.

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Multi-layered scheduling of mixed-criticality cyber-physical systems

Cited by 34 publications

References 34 publications

A Survey of Research into Mixed Criticality Systems

A Survey of Research into Mixed Criticality Systems

A Review of Recent Techniques in Mixed-Criticality Systems

Distributed computational model for shared processing on Cyber-Physical System environments

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