Towards a Cyber-Physical Architecture for Industrial Systems via Real-Time Java Technology

Val, Pablo Basanta; García-Valls, Marisol; Estévez-Ayres, Iria

doi:10.1109/cit.2010.403

Cited by 14 publications

(9 citation statements)

References 22 publications

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“…The work carried out by UPM [18], mainly based on R.I., could be extended by using the distributed event model defined in this paper. Finally, the work carried in DREQUIEMI [25], [26] is also based on R.I. and has only partially considered the publisher-subscriber model as a support for its Synchronous Scheduling Service (SSS) [27]. The work on the paper generalizes and extends the previous results on the SSS.…”

Section: A Impact On the State-of-the-artmentioning

confidence: 73%

A Dual Programming Model for Distributed Real-Time Java

Val

García-Valls

Estévez-Ayres

2011

IEEE Trans. Ind. Inf.

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More-and-more, the use of Java as a programming language for real-time applications is becoming of interest in industrial middleware. This is mainly because it offers advantages for the programmer as reduced deployment times, increased portability, and a number of APIs that may be integrated in large distributed applications. This paper contributes a dual communication model for distributed real-time Java applications. Current efforts in distributed real-time Java [e.g., The Distributed Real Time Specification for Java (DRTSJ)] are mainly focused on remote invocations (R.I.) and set aside other valuable approaches such as distributed events. The proposed model offers two choices for developing distributed real-time Java applications (one based on R.I., and another on distributed events), which may be used to develop applications. Both models include an additional support for asynchronism in communications, a feature that may speed up their communication performance. This paper includes a description for the two models, the changes that are required in the current API to accommodate them, and an empirical evaluation of their performance on a reference implementation.

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Section: A Impact On the State-of-the-artmentioning

confidence: 73%

A Dual Programming Model for Distributed Real-Time Java

Val

García-Valls

Estévez-Ayres

2011

IEEE Trans. Ind. Inf.

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“…Also, we are extending the proposed techniques to larger cluster infrastmctw·es equipped with ente1prise inachines. Finally we explore the integration extending results given in [26] and [44][45][46][47] for distributed stream processing as a building block for IBIDAE.…”

Section: Discussionmentioning

confidence: 99%

“…Both, "general purpose" and "industrial big-data" share a number of defining characteristics such as volume, variety, velocity, variability, and veracity. However, industrial big-data applications add two additional V's: visibility, which refers to discovery of unexpected insights of existing processed data; and value, which puts emphasis on the objective of analytics, creating new value from data [10][11] [40][41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Industrial Big-Data Engine

Val

2018

IEEE Trans. Ind. Inf.

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Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Abstract-Current trends in industrial systems opt for the use of different big-data engines as a mean to process huge amounts of data that cannot be processed with an ordinary infrastructure. The number of issues an industrial infrastructure has to face is large and includes challenges such as the definition of different efficient architecture setups for different applications, and the definition of specific models for industrial analytics. In this context, the article explores the development of a medium size big-data engine (i.e. implementation) able to improve performance in map-reduce computing by splitting the analytic into different segments that may be processed by the engine in parallel using a hierarchical model. This type of facility reduces end-to-end computation time for all segments with their results then merged with other information from other segments after their processing in parallel. This type of setup increases performance of current clusters improving I/O operations remarkably as empirical results revealed.

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“…For the prototype implementation, the software part was implemented using Java and the scan cycle model, and it was tested with a simulator of the physical plant. Java is considered a technology that may speed up the adoption of advances in general purpose computing in the domain of IASs [25].…”

Section: Introductionmentioning

confidence: 99%

A cyber–physical system-based approach for industrial automation systems

Thramboulidis

2015

Computers in Industry

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Abstract-Industrial automation systems (IASs) are commonly developed using the languages defined by the IEC 61131 standard and are executed on PLCs. Their software part is considered after the development and integration of mechanics and electronics. This approach narrows the solution space for software and is considered inadequate to address the complexity of today's systems. In this paper, a system-based approach for the development of IASs is adopted. A framework is described to refine the UML model of the software part, which is extracted from the SysML system model, and get the implementation code. Two implementation alternatives are considered to exploit PLCs but also the recent deluge of embedded boards in the market. For PLC targets, the new version of IEC 61131 that supports Object-Orientation is adopted, while Java is used for embedded boards. The case study was developed as a lab exercise for teaching the various technologies that address challenges in the domain of cyber-physical systems where Internet of Things (IoT ) would be the glue regarding their cyber interfaces

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Towards a Cyber-Physical Architecture for Industrial Systems via Real-Time Java Technology

Cited by 14 publications

References 22 publications

A Dual Programming Model for Distributed Real-Time Java

A Dual Programming Model for Distributed Real-Time Java

An Efficient Industrial Big-Data Engine

A cyber–physical system-based approach for industrial automation systems

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