A Scheduling Method of Node Operating System for Cyber Physical Systems

2013 ◽  
pp. 409-416
Author(s):  
Ben-Hai Zhou ◽  
Xiao-Zhou Du ◽  
Wen Yu
Keyword(s):  
Operating System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Scheduling Method

A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems

2019 ◽  
Vol 23 (2) ◽  
pp. 1275-1297 ◽  
Author(s):  
Lianyong Qi ◽  
Yi Chen ◽  
Yuan Yuan ◽  
Shucun Fu ◽  
Xuyun Zhang ◽  
...  
Keyword(s):  
Energy Conservation ◽  
Virtual Machine ◽  
Machine Scheduling ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Scheduling Method ◽  
Virtual Machine Scheduling

S-Shape Feedrate Scheduling Method with Smoothly-Limited Jerk in Cyber-Physical Systems

2021 ◽  
pp. 54-68
Author(s):  
Volodymyr Kombarov ◽  
Volodymyr Sorokin ◽  
Yevgen Tsegelnyk ◽  
Sergiy Plankovskyy ◽  
Yevhen Aksonov ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Feedrate Scheduling ◽  
Scheduling Method

scholarly journals The Design of Node Operating System for Cyber Physical Systems

2012 ◽  
Vol 29 ◽  
pp. 3717-3721 ◽  
Author(s):  
Xiao-Zhou Du ◽  
Jian-Zhong Qiao ◽  
Shu-Kuan Lin ◽  
Xiao-Chuan Tang
Keyword(s):  
Operating System ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges

2021 ◽  
Vol 65 (1) ◽  
Author(s):  
Vladimir Herdt ◽  
Rolf Drechsler
Keyword(s):  
Operating System ◽  
Virtual Prototyping ◽  
Cyber Physical Systems ◽  
Design Flow ◽  
System Level ◽  
Bare Metal ◽  
Instruction Set ◽  
Physical Systems ◽  
Virtual Prototypes ◽  
First Time

AbstractVirtual prototypes (VPs) are crucial in today’s design flow. VPs are predominantly created in SystemC transaction-level modeling (TLM) and are leveraged for early software development and other system-level use cases. Recently, virtual prototyping has been introduced for the emerging RISC-V instruction set architecture (ISA) and become an important piece of the growing RISC-V ecosystem. In this paper, we present enhanced virtual prototyping solutions tailored for RISC-V. The foundation is an advanced open source RISC-V VP implemented in SystemC TLM and designed as a configurable and extensible platform. It scales from small bare-metal systems to large multi-core systems that run applications on top of the Linux operating system. Based on the RISC-V VP, this paper also discusses advanced VP-based verification approaches and open challenges. In combination, we provide for the first time an integrated and unified overview and perspective on advanced virtual prototyping for RISC-V.

Specifics and Vulnerabilities of the Timing Control in Cyber-Physical Systems

2021 ◽  
Vol 71 (1) ◽  
Author(s):  
Iliya Georgiev ◽  
Ivo Georgiev
Keyword(s):  
Operating System ◽  
Embedded System ◽  
Physical Environment ◽  
Fault Tolerant ◽  
Cyber Physical Systems ◽  
Advanced Manufacturing ◽  
Timing Control ◽  
Physical Systems ◽  
Expert Estimation ◽  
System Operating

Cyber-physical systems integrate powerful computing (real-time embedded system, operating system, applications, and Internet networking) and physical environment (advanced manufacturing cells, medical platforms, energetics aggregates, social and educational control). The reliable functionality depends extremely on the correct timing. Wrong timing because of buried malfunction or external tampering could be critical. The paper is some analysis of the vulnerable timing parameters that influence the precise processing. Expert estimation of the criticality of different timing parameters is given to support fault-tolerant design considering possible failures.

scholarly journals The Fuzzy Feedback Scheduling of Real-Time Middleware in Cyber-Physical Systems for Robot Control

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Feng Tang ◽  
Ping Zhang ◽  
Fang Li
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Robot Control ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Real Time Systems ◽  
Physical Systems ◽  
Scheduling Method ◽  
Feedback Scheduling ◽  
Time Systems

Cyber-physical systems for robot control integrate the computing units and physical devices, which are real-time systems with periodic events. This work focuses on CPS task scheduling in order to solve the problem of slow response and packet loss caused by the interaction between each service. The two-level fuzzy feedback scheduling scheme is designed to adjust the task priority and period according to the combined effects of the response time and packet loss. Empirical results verify the rationality of the cyber-physical system architecture for robot control and illustrate the feasibility of the fuzzy feedback scheduling method.

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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