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w 1/3(W) Record output: Detailed record NOTE: Your selected records (to a maximum of 500) will be kept until your session ends. However, to delete them after this task: • Return to the Search results page and click Delete Selected Records, or • Go to the Selected records page and click Remove All, or • Click the End session link at the top of the page 1. 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 http://www.engineeringvillage.com/delivery/print/display.url?database=1&displayfor... 2014-09-28 w 2/3(W) 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. http://www.engineeringvillage.com/delivery/print/display.url?database=1&displayfor... 2014-09-28 w 3/3(W) Copyright © 2014 Elsevier B.V. All rights reserved. http://www.engineeringvillage.com/delivery/print/display.url?database=1&displayfor... 2014-09-28