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

2013 ◽  
Vol 59 (10) ◽  
pp. 1215-1230 ◽  
Author(s):  
Reinhard Schneider ◽  
Dip Goswami ◽  
Alejandro Masrur ◽  
Martin Becker ◽  
Samarjit Chakraborty
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Mixed Criticality

Towards mixed criticality task scheduling in cyber physical systems: Challenges and perspectives

2019 ◽  
Vol 156 ◽  
pp. 204-216 ◽  
Author(s):  
Eugenia Ana Capota ◽  
Cristina Sorina Stangaciu ◽  
Mihai Victor Micea ◽  
Daniel-Ioan Curiac
Keyword(s):  
Task Scheduling ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Mixed Criticality

Overload provisioning in mixed-criticality cyber-physical systems

2012 ◽  
Vol 11 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Karthik Lakshmanan ◽  
Dionisio De Niz ◽  
Ragunathan (RAJ) Rajkumar ◽  
Gabriel Moreno
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Mixed Criticality

scholarly journals Minimizing Overloads of Critical Tasks Using Machine Learning in CPS by Extending Resources

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 413-424
Author(s):  
S. Krishna Narayanan ◽  
Dr.S. Dhanasekaran ◽  
Dr.V. Vasudevan
Keyword(s):  
Machine Learning ◽  
Cyber Physical Systems ◽  
Online Resources ◽  
Physical Systems ◽  
To Come ◽  
Almost All ◽  
Mixed Criticality

With all the growing variety of solutions plus industries as well as nuclear, substance, aerospace, as well as auto sectors to come down with cyber-physical Systems (CPSs), methods remain now actuality seriously loaded. CPSs includes varied dangerous jobs that stand protection dangerous (1) that is high or perhaps non-protection crucial (2) that is low. For conventional job arranging, nearly almost on the current arranging algorithms offer terrible functionality for high criticality jobs, if the method suffers from overburden as well as doesn't present explicit splitting up with various criticality duties to make the most of utilizing cloud online resources. Below, a framework is proposed by us to plan the mixed criticality duties by examining the deadlines of theirs as well as delivery occasions that use the overall presentation of similar handling done by OpenMP (Open Multi-Processing). The suggested agenda presents a piece of ML-based estimate for a job unloading within the area of cloud. Furthermore, it clarifies to perform the nominated variety of low dangerous things within the area of cloud even though the extraordinary serious jobs are operated over the regional CPUs over the method clog. Consequently, the high criticality jobs fulfil almost all the deadlines of theirs and also the method accomplishes a tremendous enhancement within the general delivery period as well as much better throughput. Additionally, the investigational outcomes using OpenMP present the usefulness of utilizing the subdivided arranging during a worldwide arranging technique upon multiprocessor methods to accomplish the works isolation.

Emerging Cyber-Physical Systems : An Overview

2018 ◽  
pp. 306-316
Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B
Keyword(s):  
Health Care ◽  
Economic Benefit ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Economic Sectors ◽  
Strategic Research ◽  
Physical Systems ◽  
Security Issues ◽  
Wide Range

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.

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