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Service-oriented Architecture (SOA) is becoming a de facto paradigm for business and enterprise integration. SOA is expanding
into several domains of application envisioning a unified solution suitable across all different layers of an enterprise infrastructure.
The application of SOA based on open web standards can significantly enhance the intero...
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Citations
... To propose a feasible solution to design Reconfigurable and Distributed Manufacturing Control System (RDMCS), characteristics of different techniques should be combined. In [1,2], a method which associates top-down and bottom-up approaches through Petri Net (PN) [3,4] combining Service-Oriented Architecture (SOA) [5] and Holonic and Multi-Agent System (HMAS) [6] concepts to model RDMCS was presented. The HMAS concept facilitates the development and integration of distributed and heterogeneous systems and SOA paradigm allows considering interoperability with other manufacturing systems. ...
... However, in real applications much more complex and/or distributed subsystems may be combined into larger systems. On the other hand, SOA has revolutionized the distributed computing paradigm and made various kinds of inter-enterprise collaboration a reality [5]. Although SOA provides the framework for integrating cross-company services or technical interoperability, it does not address formal methods to ensure a systematic implementation of the design specifications [11]. ...
This paper presents the modeling of fault diagnosis mechanisms extending a method to design reconfigurable and distributed manufacturing control system. The method combines different techniques: service-oriented architecture, holonic and multi-agent system, production flow schema and input-output placetransition Petri net. An application example demonstrates advantages of the proposal, such as at cloud-based engineering, reuse, implementation and reconfiguration flexibility. © IFIP International Federation for Information Processing 2015.
... Although agent-based concepts were confirmed as a promising approach and deployed in a number of different applications throughout the last few years, their widespread adoption by industry is still missing. Lack of awareness about the potentials of agent technology [10] and paradigm misunderstanding [11] due to the lack of real industrial applications, missing trust in the idea of delegating tasks to autonomous agents [12] as well as concerns regarding the stability, scalability and survivability [13] are identified as major reasons for that. Besides, the specific nature of software agents, which are designed to be distributed, autonomous, and deliberative, makes it difficult to apply existing software testing, monitoring, and diagnostics techniques to them. ...
... The SOCRADES project, aimed at developing serviceoriented infrastructure for distributed smart embedded devices, incorporates various technologies applied for visualization. In this project the visualization is provided by the commercial 2D/3D solution Delmia, which enables experimenting with the virtual production cell in a 3D environment [11]. Finally, the Actor-based Assembly Systems Architecture (ABAS), developed by Lastra et al., features a 3D view of the physical system controlled by intelligent physical agents [20], [21]. ...
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... In general, it is envisioned that event-based, high-level and decoupled nature of Service-oriented Architecture (SoA)-based production devices will allow for easier integration, configuration and maintenance of factory monitoring systems [3]. Possible integration of legacy control systems programmed in IEC 61131 languages is described in [4]. The IEC 61131-based control components are converted into PLCOpen format, which is embedded in a service template that will be then deployed into the device. ...
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Recognized as the major deployed paradigm for business and enterprise integration, Serviceoriented Architecture (SOA) is expanding into several domains of application, including production systems device level, envisioning a unified solution suitable across all difierent layers of an enterprise infrastructure. Additionally, semantic web research paves the way to allow machines to understand and process information. The merge of these two approaches promises to deliver more intelligent and automated systems able to understand the context and behave accordingly. The scope of this work mainly focuses on how to assist systems integrators during the discovery, identification and deployment of new devices in a service-oriented production system. To answer this need, this document presents and describes a semantic SOA approach, comprising a set of distributed components that can be employed in a combined manner to provide a complete range of services to enhance agility at device level during (re)engineering processes. This approach covers several difierent aspects of service-oriented production systems lifecycle, including the plug and unplug of new devices and services in a heterogeneous environment.
Recognized as the major deployed paradigm for business and enterprise integration, Service-oriented Architecture (SOA) is expanding into several domains of application, including production systems device level, envisioning a unified solution suitable across all different layers of an enterprise infrastructure. Additionally, semantic web research paves the way to allow machines to understand and process information. The merge of these two approaches promises to deliver more intelligent and automated systems able to understand the context and behave accordingly.
The scope of this work mainly focuses on how to assist systems integrators during the discovery, identification and deployment of new devices in a service-oriented production system. To answer this need, this document presents and describes a semantic SOA approach, comprising a set of distributed components that can be employed in a combined manner to provide a complete range of services to enhance agility at device level during (re)engineering processes. This approach covers several different aspects of service-oriented production systems lifecycle, including the plug and unplug of new devices and services in a heterogeneous environment.
Service-Oriented Architecture approach is extended gradually from the enterprise level to the device level. It encapsulates the functions of devices in the form of web services in the device layer in order to enhance the interoperability and openness between devices. However, most of the embedded services are deployed relying on human intervention rather than deployed automatically, due to different hardware platforms, operating systems, architectures and resource conditions among heterogeneous devices. It causes the complexity of service deployment to some extent. In this paper, we propose an approach to facilitate the dynamic deployment of services for resource-constrained devices. The information of resources demanded for service deployment is added to the WSDL document together with the web service description. Service invokers would check whether the target devices satisfy the resource conditions during service mapping and then deploy dynamically the matched services according to some checking methods, which will improve greatly the deployment efficiency. Finally a scenario is illustrated to accomplish service mapping and service deployment on simulated devices.
This paper proposes a component-based design pattern for distributed automation programs. This design pattern aims to improve reusability of programs and reduce redevelopment time. Component-based design issues in both IEC 61131-3 and IEC 61499 platforms are analyzed. Then the design pattern is proposed in a form of a set of rules. The pattern combines properties of service-oriented architecture (SOA) with multi-layered organization and engineering benefits of component organization. This design pattern is applied to both IEC 61131-3 and IEC 61499 on example of a real airport baggage handling automation system. The result proves that the design pattern brings convenience for developers of automation programs and improves reusability of software components.
