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Accession number: 20143518106468
Title: An approach to model complex big data driven cyber physical
systems
Authors:
Author affiliation:
Zhang, Lichen1, 2
1
Faculty of Computer Science and Technology, Guangdong
University of Technology, Guangzhou 510090, China
2
Shanghai Key Laboratory of Trustworthy Computing, East
China Normal University, Shanghai 200062, China
Corresponding Zhang, L. ([email protected])
author:
Source title: Lecture Notes in Computer Science (including subseries Lecture
Notes in Artificial Intelligence and Lecture Notes in
Bioinformatics)
Abbreviated source Lect. Notes Comput. Sci.
title:
Volume: 8630 LNCS
Issue: PART 1
Monograph title: Algorithms and Architectures for Parallel Processing - 14th
International Conference, ICA3PP 2014, Proceedings
Issue date: 2014
Publication year: 2014
Pages: 740-754
Language: English
ISSN: 03029743
E-ISSN: 16113349
ISBN-13: 9783319111964
Document type: Conference article (CA)
Conference name: 14th International Conference on Algorithms and Architectures for
Parallel Processing, ICA3PP 2014
Conference date: August 24, 2014 - August 27, 2014
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Conference location: Dalian, China
Conference code: 107001
Publisher: Springer Verlag
Abstract: Big data driven cyber physical systems not only meet big data 4V
feature requirements, but also have to meet time constrains and
spatial constraints of cyber physical systems. Big data driven cyber
physical systems have to deal with time-constrained data and timeconstrained transactions. They are now being used for several
applications such as automobile and intelligent transportation
systems, aerospace systems, medical devices and health care
systems in each of big data driven cyber physical applications, data
about the target environment must be continuously collected from
the physical world and processed in a timely manner to generate
real-time responses. Those systems contain a large network of
sensors distributed across different components, which leads to a
tremendous amount of measurement data available to system
operators. Regarding big data modeling, an important question is
how to represent a moving object. In contrast to static objects,
moving objects are difficult to represent and model. The efficiency
of modeling methods for moving objects is highly affected by the
chosen method to represent and analyze the continuous nature of
the moving object. The design of big data driven cyber physical
systems requires the introduction of new concepts to model
classical data structures, 4V features, time constraints and spatial
constraints, and the dynamic continuous behavior of the physical
world. In this paper, we propose a model based approach to model
big data driven cyber physical systems based on integration of
Modelica, Modelicaml, AADL, RCC and clock theory, we
illustrate our approach by specifying and modeling Vehicular Ad
hoc Networks (VANET). © 2014 Springer International Publishing
Switzerland.
Number of 23
references:
Main heading: Big data
Controlled terms: Biomedical equipment - Complex networks - Continuous time
systems - Embedded systems - Intelligent systems - Network
architecture - Vehicular ad hoc networks
Uncontrolled terms: CPS - Cyber physical systems (CPSs) - Intelligent transportation
systems - Model based approach - Modelicaml - RCC Spatial constraints - VANET
Classification code: 462.1 Biomedical Equipment, General - 722 Computer Systems
and Equipment - 723 Computer Software, Data Handling and
Applications - 723.4 Artificial Intelligence - 921 Mathematics 961 Systems Science
DOI: 10.1007/978-3-319-11197-1-59
Database: Compendex
Compilation and indexing terms, © 2014 Elsevier Inc.
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Copyright © 2014 Elsevier B.V. All rights reserved.
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