The document presents a paper from the 23rd ICE/IEEE ITMC Conference detailing a cloud-based data collection framework developed under the EU Horizon 2020 C2Net project, aimed at optimizing SME supply networks. It discusses the framework's capabilities for collecting data from various sources, enhancing user interaction through a friendly interface, and ensuring data privacy. The implementation was validated with a metal-working example, demonstrating flexibility and effectiveness in resource visualization and management.

1. Configuring and Visualizing The Data Resources
in a Cloud-based Data Collection Framework
Date: 29th of June, 2017
Contact Information
Tampere University of Technology
FAST Laboratory
P.O. Box 600,
FIN-33101 Tampere
Finland
Email: fast@tut.fi
www.tut.fi/fast
Conference: 23rd ICE/IEEE ITMC Conference
(ICE2017).
Madeira, Portugal – June 27-30, 2017
Title of the paper: Configuring and Visualizing The
Data Resources in a Cloud-based Data Collection
Framework
Authors: Wael M. Mohammed, David Aleixo, Borja
Ramis Ferrer, Carlos Agostinho, Jose L. Martinez
Lastra
if you would like to recieve a reprint of the
original paper, please contact us.

2. Configuring and Visualizing The
Data Resources in a Cloud-based
Data Collection Framework
23rd ICE/IEEE ITMC Conference (ICE2017).
Madeira, Portugal – June 27-30, 2017
Wael M. Mohammed1, David Aleixo2, Borja Ramis Ferrer1, Carlos Agostinho2, Jose L.
Martinez Lastra1
wael.mohammed@tut.fi, daa@uninova.pt, borja.ramisferrer@tut.fi, ca@uninova.pt,
jose.lastra@tut.fi
1 Tampere University of Technology, 33720 Tampere, Finland
2 Centre of Technology and Systems, CTS, UNINOVA, 2829-516 Caparica, Portugal

3. Outline
• Introduction
• Motivation
• The State of The Art
• Cloud-based data collection framework
• Implementation
• Conclusion and the future work
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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4. Introduction
Cloud Collaborative Manufacturing Networks (C2NET)
project is an EU Horizon 2020 R&D project within the
framework of the Factories of the Future (FoF) public-
private partnership. The goal of the project is the
development of Cloud-enabled tools for supporting SMEs
supply network optimization.
A data collection is required. Thus C2NET contains a Data
Collection Framework that capable of collecting data from
factory shopfloor using IoT device and ERP data using
Legacy Systems Hubs.
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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5. Motivation
• Providing the user with an easy and friendly
interface for the adding data resources.
• Provide a flexible solution that can be user for
different cases.
• Decrease the amount of interfaces and allow the
user to interact from minimal interfaces.
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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6. State of The Art
Hypermedia in Web Applications
The revolution of the web-based application that occur in
the beginning of this century opened several doors for new
standards to be created and developed such as HTML,
CSS, JQuery. These standards allow the front-end web
designers and developers to interfaces for the web-based
applications.
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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7. State of The Art
Data Collection Frameworks
In the definition of the Manufacturing Enterprise
Solutions Association (MESA) MES functions, the
data collection is considered as MES function that
is required for collecting the data form the
shopfloor or other resources.
Aspects:
1. Communication
2. Transformation
3. Data Storage
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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8. Cloud-based Data Collection
Framework
Company
• Three data source
types are defined;
XLS, SQL and REST
• The company end
user can interact with
the C2NET via web
browser
• The end user is able
to access the data on
the company side.
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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9. Cloud-based Data Collection
Framework
C2NET
RM: Resource Manager for
manipulating the data are
sources that are connected
to the C2NET
DKMS: Data and
Knowledge Management
System for data
identification,
transformation and
detection.
UCP: User Collaboration
Portal for providing the
interface
PubSub: publish/subscribe
message broker
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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10. Cloud-based Data Collection
Framework
Legacy System Hub
• PubSub Client for
connecting the
C2NET platform.
• Active MQ Broker is
used internally in the
hub co connecting
several instances
• Three types of data
adapters are defined
for XLS, SQL and
REST
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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11. Cloud-based Data Collection
Framework
• The approach that has been adopted for configuring the data
resource in the C2NET tends to several data resources to
be connected.
• It is expected increase the privacy of the company data
• It contains four messages:
– Half configuration
– External property
– Full configuration
– Data
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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12. Cloud-based Data Collection
Framework
Half configuration
Contains the accessibility configuration which allows the hub
to reach the data resource
External property
A visualization of the data resource generated from the hub
and presented min the C2NET
Full configuration
Contains the complete configuration that is needed for the hub
Data
Data that is collected format the data resources via hubs
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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13. Cloud-based Data Collection
Framework
User and C2NET
interaction for adding and
configuring the data
resources.
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
13

14. Cloud-based Data Collection
Framework
Hub-ERP interactions
A case of Legacy System
Hub is presented
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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15. Implementation
• Metal-working
example for
validating the
concept
• Data is
provided as
Excel files via
FTP server
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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16. Implementation
Configuration data resource in the RM contains
external property, outputConfigutration, private
dataset and source
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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17. Implementation
• Visualization
of the data
resources in
the DCF
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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18. Conclusion
• The approach provided a flexible and generic
way for configuring and visualizing the data
resources.
• The privacy of the ERP data is guaranteed since
the company can build its own hub and visualize
it in the DCF without using an external
applications
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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19. Acknowledgement
The research leading to these results has received funding from the European
Union’s Horizon 2020 research and innovation program under grant agreement
n° 636909, correspondent to the project shortly entitled C2NET, Cloud
Collaborative Manufacturing Networks .
Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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20. THANK YOU!
Any questions?
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https://www.facebook.com/fast.laboratory
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Configuring and Visualizing The Data Resources in a Cloud-
based Data Collection Framework
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