Translation error handling for multi-protocol SOA systems

Derhamy, Hasan; Eliasson, Jens; Delsing, Jerker; Pereira, Pablo Puñal; Varga, Pál

doi:10.1109/etfa.2015.7301473

Cited by 20 publications

(5 citation statements)

References 12 publications

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“…Each local cloud has three mandatory core systems (Service Registry, Orchestration System, and authorization system) to enable essential SOA and security functions. Arrowhead provides supporting core systems as well for intercloud servicing (through the Gatekeeper and Gateway systems) [42], homogeneous event handling (Event Handler), different protocol mapping (Translator System) [43], and many more [44]. One of the main principles of Arrowhead is technology independence.…”

Section: Arrowhead Frameworkmentioning

confidence: 99%

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems

Kozma

Varga

Larrinaga

2021

IEEE Trans. Automat. Sci. Eng.

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Workflow management is implemented in manufacturing at many levels. The nature of processes varies at each level, hindering the use of a standard modeling or implementation solution. The creation of a flexible workflow management framework that overarches the heterogeneous business process levels is challenging. Still, one of the promises of the Industry 4.0 initiative is precisely this: to provide easy-to-use models and solutions that enable efficient execution of enterprise targets. By addressing this challenge, this article proposes a workflow execution model that integrates information and control flows of these levels while keeping their hierarchy. The overall model builds on the business process model and notation (BPMN) for modeling at the enterprise level and recipe modeling based on colored Petri net (CPN) at the production level. Models produced with both alternatives are implemented and executed in a framework supported by an enterprise service bus (ESB). Loosely coupled, late-bound system elements are connected through the Arrowhead framework, which is built upon the Service-Oriented Architecture (SOA) concept. To prove its feasibility, this article presents the practical application of the model via an automotive production scenario.Note to Practitioners-The methodology detailed in this article can serve as a basis for experts who are dealing with industrial workflows. Reacting to the requirements of Industry 4.0, i.e., the virtualization, decentralization, modularity, real-time capability, and service orientation, this article provides a concept that can answer all the defined criteria. First, it adopts a new two-level approach to workflow management, which makes the understanding and control of workflows easier, enhancing transparency. Furthermore, it demonstrates how-even completely different-applications and modeling languages can be integrated into a Service-Oriented Architecture (SOA). The presented com-Manuscript

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Section: Arrowhead Frameworkmentioning

confidence: 99%

Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems

Kozma

Varga

Larrinaga

2021

IEEE Trans. Automat. Sci. Eng.

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“…They are involved in managing more sub-activities defined in the CCC model. Such systems include QoS (Quality of Service) Manager [56], System Configuration Store [56], Gatekeeper System and Gateway [57], Event Handler [58], Plant Description System [59], Translator System [60], Historian [56] and Workflow Choreographer [54], [61].…”

Section: Lifecycle and Toolchain Management In Arrowheadmentioning

confidence: 99%

Supporting Digital Supply Chains by IoT Frameworks: Collaboration, Control, Combination

Kozma¹,

Varga²

2020

Infocommunications journal

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The purpose of this paper is to introduce a technology-oriented SCM (Supply Chain Management) development methodology, which can be used in the design of IoT (Internet of Things) frameworks especially characterized by supply chain processes. In order to meet DSC (Digital Supply Chain) expectations, two areas are examined in detail during the literature review. Firstly, the current SCM models are studied. Secondly, Industry 4.0 requirements had to be surveyed. As a consequence, challenges and gaps are identified for which we seek the solution during our research. Based on the results, it can be stated that digitization has definitely required an improved technological solution that IoT frameworks can provide. The result is a technology-driven, IoT-based SCM development methodology that serves as a basis for the design of such platforms, which will manage supply chains. To prove the feasibility of the proposed development methodology, the Arrowhead industrial IoT framework is used for validation.

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“…Translation capabilities are available within the Arrowhead framework by the supporting core system called Translator. While translation among RESTful protocols are relatively easy to tackle, error handling is still not trivial [10]. Translation between publish-subscribe (e.g., MQTT) and request-response (e.g., RESTful HTTP or CoAP) is also challenging, although various implementations are already available.…”

Section: Related Workmentioning

confidence: 99%