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Configuring and visualizing the data resources in a cloud-based data collection framework

Mohammed, Wael M.; Ferrer, Borja Ramis; Lastra, Jose L. Martinez; Aleixo, David; Agostinho, Carlos (2018-02-02)

 
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2017_ICE_Visualization.pdf (378.8Kt)
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Mohammed, Wael M.
Ferrer, Borja Ramis
Lastra, Jose L. Martinez
Aleixo, David
Agostinho, Carlos
02.02.2018

This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
doi:10.1109/ICE.2017.8280017
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202104142961

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Peer reviewed
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<p>The Manufacturing Enterprise Solutions Association (MESA) provided the abstract and general definition of the Manufacturing Execution Systems (MES). A dedicated function has been reserved for the data collection activities. In this matter, the Cloud Collaborative Manufacturing Networks (C2NET) project tends to provide a cloud based platform for hosting the interactions of the supply chain in a collaborative network. Within the architecture of the C2NET project, a Data Collection Framework (DCF) is designed to fulfill the function of data collection. This allows the companies to provide their data, which can be both enterprise and Internet of Things (IoT) devices type of data to the platform for further use. The collection of the data is achieved by a specific third party application, i.e., the Legacy System Hub (LSH). This research work presents the approach of configuring and visualizing the data resources in the C2NET platform. This approach employs the web-based applications and the help of the LSH. This permits the C2NET platform to adapt to any kind of third party application, which manipulates enterprise data, following the generic and flexible solution of this approach.</p>
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