A SOA-Based Embedded Systems Development Environment for Industrial Automation

Thramboulidis, Kleanthis; Doukas, G.; Koumoutsos, Giannis

doi:10.1155/2008/312671

Cited by 29 publications

(15 citation statements)

References 11 publications

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“…It is a matter of fact that SOA dynamicity and information hiding obstacle monitoring solutions that directly observe the SOA services [19]. This collides with the increasing interest in using these systems for (safety) critical applications, and raises a call for adequate solutions to monitoring and error detection [1], [21].…”

Section: Introductionmentioning

confidence: 99%

Context-Awareness to Improve Anomaly Detection in Dynamic Service Oriented Architectures

Zoppi

Ceccarelli

Bondavalli

2016

Lecture Notes in Computer Science

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Abstract. Revealing anomalies to support error detection in softwareintensive systems is a promising approach when traditional detection mechanisms are considered inadequate or not applicable. The core of anomaly detection lies in the definition of the expected behavior of the observed system. Unfortunately, the behavior of complex and dynamic systems is particularly difficult to understand. To improve the accuracy of anomaly detection in such systems, in this paper we present a contextaware anomaly detection framework which acquires information on the running services to calibrate the anomaly detection. To cope with system dynamicity, our framework avoids instrumenting probes into the application layer of the observed system monitoring multiple underlying layers instead. Experimental evaluation shows that the detection accuracy is increased considerably through context-awareness and multiple layers monitoring. Results are compared to state-of-the-art anomaly detectors exercised in demanding more static contexts.

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Section: Introductionmentioning

confidence: 99%

Context-Awareness to Improve Anomaly Detection in Dynamic Service Oriented Architectures

Zoppi

Ceccarelli

Bondavalli

2016

Lecture Notes in Computer Science

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“…Service oriented architectures (SOA) have already attracted the interest of researchers in the industrial automation domain, e.g., [17] [29][30][31][32] and vendors are already moving towards exploiting the Interent of Things (IoT), e.g., [33]. To support discovery and composition of capabilities of entities that constitute CPSs and their just-in-time assembly, authors in [34] describe an approach to enable the use of SOA methods for this domain.…”

Section: Related Workmentioning

confidence: 99%

“…They would have published in the semantic web, in a machine readable way, the information that is required for using these components. Developers may use their browsers to find the proper components [29]. They have to download the virtual CPCs, i.e., the ones that instead of the real world mechanical part contain their simulator.…”

Section: B the System Level Modeling Processmentioning

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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“…The introduction of SOA has already been presented in Chapter 2; however, this section presents its comparison with OOA. In general, SOA can be considered as a methodology for the development and integration of system; where functionality is grouped around business processes and packaged as interoperable services (Thramboulidis et al, 2008). More specifically, SOA describes the IT infrastructure, which allows different applications to exchange data in business processes and allows loose coupling of services within operating systems, programming languages and other technologies.…”

Section: Service-oriented Architecturementioning

confidence: 99%