research-article

Research on Real-time Virtualization Technology for Control System

Authors:

Xiangying Kong,

Xinran KongAuthors Info & Claims

CSAE '21: Proceedings of the 5th International Conference on Computer Science and Application Engineering

Article No.: 5, Pages 1 - 5

https://doi.org/10.1145/3487075.3487080

Published: 07 December 2021 Publication History

Abstract

In recent years, the combination of multi-core processor and virtualization technology promotes the rapid application of virtualization technology in the field of real-time control. While virtualization technology gives full play to the performance of multi-core processors and improves the robustness and flexibility of application systems, the real-time performance loss caused by application virtualization has always been concerned by people. On the basis of discussing the concept of real-time control system, the principle of virtualization technology and the existing approaches of real-time virtualization technology, the real-time connotation of the virtualized control system is defined. This paper analyzes the real-time and applicable scenarios of two application schemes, namely, large-scale virtualization based on private cloud and single-node virtualization based on HyperVisor, the related real-time virtualization technology and application scenarios are discussed, and builds a test environment, and measures the interrupt response time and event response time of the corresponding schemes. The former can only meet the application with millisecond real-time performance, while the latter still has sub-microsecond real-time performance, which can meet most real-time system requirements.

References

[1]

W. Huang, J. Liu, B. Abali, D. Panda (2006). A case for high performance computing with virtual machines, in: Proc.of 20th Annual ACM Int'l Conference on Supercomputing, pp. 125-134.

Digital Library

[2]

M. Mergen, V. Uhlig, O. Krieger, J. Xenidis (2006). Virtualization for high-performance computing, in: Proc.of ACM SIGOPS Operating Systems Review, vol. 40 (2), pp. 8-11.

Digital Library

[3]

Xia Hao, Liu Qin (2014). Avenue to Jane – Cloud NF, ZTE's mobile network virtualization solution, No.1, 18-19.

[4]

Multi-Core with virtualization, a solution for future smart phones. http://www.alphagalileo.org, Aug 2010 .

[5]

S. Yoo, Y. Liu, C. Hong, C. Yoo and Y. G. Zhang (2008). MobiVMM: a Virtual Machine Monitor for Mobile Phones, Proc. of the 1st Workshop on Virtualization in Mobile Computing, Breckenridge, USA, pp.1-5.

Digital Library

[6]

https://www.intel.cn/content/www/cn/zh/virtualization/virtualization-technology/intel-virtualization-technology.html 2021.4.30.

[7]

https://cloud.tencent.com/developer/information/all.html 2021.4.30.

[8]

The virtualization technology of industrial controller-edge computing entered the factory workshop, http://www.eepw.com.cn/article/202008/416580.htm, April 30, 2021.

[9]

WindRiver, virtualization requirements of next generation industrial control system, http://windriver.com.cn/downloads/files/WP-requirements-virtualization-next-gen-industrial-cs-white-paper-cn.pdf 2021.4.30 .

[10]

Zhang Junhong, Tong Qiang (2019). A New Generation of Airborne Software Design Based on Software Virtualization Technology, Journal of Nanjing Aerospace University, Vol.51, No.6, 772-777.

[11]

Xiong Huagang (2014). Jake, Architecture and Key Technologies of Avionics Cloud, International Aviation, No.7, 59-60, 2 pages in total.

[12]

R. Kaiser (2008). Alternatives for Scheduling Virtual Machines in Real-Time Embedded Systems, Proc. of the 1st Workshop on Isolation and Integration in Embedded Systems, Glasgow, Scotland, UK, pp.5-10.

Digital Library

[13]

Rik van Riel (2015). Real-time KVM from the ground up, KVM Forum 2015, Red Hat.

[14]

J. Kiszka (2009). Towards Linux as a Real-Time Hypervisor, Proc. of the 11th Real-Time Linux Workshop, Dresden, Germany, pp.205-215.

[15]

W. Jiang, Y.S, Zhou, Y. Cui, W. Feng, Y. Chen, Y.C, Shi and Q.B, Wu (2009). CFS Optimizations to KVM Threads on Multi-Core Environment, Proc. Of the 15th International Conf. on Parallel and Distributed Systems, Shenzhen, China, pp.348-354.

Digital Library

[16]

M. Rosenblum and T. Gar¯nkel (2005). Virtual Machine Monitors: Current Technology and Future Trends, Computer, vol.38, pp.39-47.

Digital Library

[17]

Ruhui Ma, Fanfu Zhou, Haibing Guan (2013). Performance Tuning Towards a KVM-based Embedded Real-Time Virtualization System. J. Inf. Sci. Eng., vol .29, 1021-1035.

[18]

Hyoseung Kim, Shige Wang, R. Rajkumar (2015). Responsive and Enforced Interrupt Handling for Real-Time System Virtualization. 2015 IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications, 90-99.

[19]

S. Brosky and S. Rotolo (2003). Shielded processors: Guaranteeing sub-millisecond response in standard Linux, In Workshop on Parallel and Distributed RealTime Systems, WPDRTS'03, Nice,France.

[20]

Guang Xiaoming, Hujie, Chen Long, Guo Jing (2012). Principle and Implementation of Virtualization Technology, Electronic Industry Press.

[21]

The relationship between virtual machine network card and tap device on linux bridge, https://blog.csdn.net/xiakewudi/article/details/76851076 April 30, 2021.

[22]

RealTime Linux Wiki, 2009.http://rt.wiki.kernel.org.

[23]

Steven Rostedt, Darren V. Hart (2007). Internals of the RT Patch. 2007 Linux Symposium, Volume 2. 161-172. Canada.

Cited By

Zhang ZZhang XShang JZhao RYan F(2023)Design and implementation of a fast interrupt system based on RISC-VSecond International Conference on Electronic Information Technology (EIT 2023)10.1117/12.2685512(39)Online publication date: 15-Aug-2023
https://doi.org/10.1117/12.2685512

Index Terms

Research on Real-time Virtualization Technology for Control System
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
  2. Real-time systems
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Embedded software
      2. Real-time systems software

Index terms have been assigned to the content through auto-classification.

Recommendations

Responsive and Enforced Interrupt Handling for Real-Time System Virtualization
RTCSA '15: Proceedings of the 2015 IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications

The increasing performance of modern processors makes virtualization a viable solution for consolidating real-time systems into a single hardware platform. Although real-time task scheduling in a virtual machine can benefit from hierarchical scheduling, ...
Real-Time Performance Analysis and Tuning of Embedded System Virtualization Architecture Based on KVM

Embedded systems are proceeding towards exploiting virtualization technology to have the benefits of Real-Time Operating System (RTOS) and General-Purpose Operating System (GPOS) in the same system. This combination provides both a timely and ...
Predictable Shared Cache Management for Multi-Core Real-Time Virtualization
Special Issue on Autonomous Battery-Free Sensing and Communication, Special Issue on ESWEEK 2016 and Regular Papers

Real-time virtualization has gained much attention for the consolidation of multiple real-time systems onto a single hardware platform while ensuring timing predictability. However, a shared last-level cache (LLC) on modern multi-core platforms can ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

CSAE '21: Proceedings of the 5th International Conference on Computer Science and Application Engineering

October 2021

660 pages

ISBN:9781450389853

DOI:10.1145/3487075

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2021

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

National Key R&D Program of China

Conference

CSAE 2021

CSAE 2021: The 5th International Conference on Computer Science and Application Engineering

October 19 - 21, 2021

Sanya, China

Acceptance Rates

Overall Acceptance Rate 368 of 770 submissions, 48%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
93
Total Downloads

Downloads (Last 12 months)18
Downloads (Last 6 weeks)3

Reflects downloads up to 24 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Zhang ZZhang XShang JZhao RYan F(2023)Design and implementation of a fast interrupt system based on RISC-VSecond International Conference on Electronic Information Technology (EIT 2023)10.1117/12.2685512(39)Online publication date: 15-Aug-2023
https://doi.org/10.1117/12.2685512

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents