Towards Building Cyberphysical Systems with Agile Architecture

Author:

Vodyaho Alexander1ORCID,Zhukova Nataly2ORCID,Schichkina Yulia1ORCID,Abbas Saddam1ORCID,Chernokulsky Vladimir13ORCID

Affiliation:

1. Department of Computer Science and Engineering, Saint Petersburg Electrotechnical University, St. Petersburg 197376, Russia

2. Laboratory of Big Data Technologies in Sociocyberphysical Systems, St. Petersburg Federal Research Centerof the Russian Academy of Sciences, St. Petersburg 199178, Russia

3. Intelligent Systems Laboratory, St. Petersburg 197229, Russia

Abstract

The current stage of technology development is characterized by an increase in the complexity of the created anthropogenic systems, a constant expansion of the scope of information technologies, an increase in the intelligence level of the created systems, and the appearance of new paradigms for building information-oriented systems such as cyber-physical systems, the Internet of things, and cloud and fog systems. Modern information-oriented systems very often have dynamic structure, implement complex adaptive behavior, and can be considered as systems with agile architecture. The article discusses one of the possible approaches for building cyberphysical systems with agile architecture on fog platforms. The idea of the proposed approach is to accumulate knowledge about the current state of the observed cyberphysical systems in the form of knowledge graphs. As a model, it is proposed to use multilevel relatively finite state operating automaton at the upper level and knowledge graphs at the lower level. A distinctive feature of the developed approach is that models that describe the current state of the observed system can be built automatically.

Funder

Federal Target Program

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Reference42 articles.

1. Analysis and design of cyber-physical systems. a hybrid control systems approach;R. G. Sanfelice,2016

2. Socio-cyber-physical systems: models, opportunities, open challenges;R. C. Calinescu

3. Systems and Software Variability Management

4. Knowledge Management in the Development of Data-Intensive Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3