Publications Search Results

Now showing 1 - 3 of 3
  • Publication
    IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios
    ( 2021)
    Borghesi, Andrea
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    Modica, Giuseppe di
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    Bellavista, Paolo
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    Willner, Alexander
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    Kintzler, Florian
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    Cejka, Stephan
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    Tisbeni, Simone Rossi
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    Costantini, Alessandro
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    Galletti, Matteo
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    Antonacci, Marica
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    Ahouangonou, Jean Christian
    With the increase of the volume of data produced by IoT devices, there is a growing demand of applications capable of elaborating data anywhere along the IoT-to-Cloud path (Edge/Fog). In industrial environments, strict real-time constraints require computation to run as close to the data origin as possible (e.g., IoT Gateway or Edge nodes), whilst batch-wise tasks such as Big Data analytics and Machine Learning model training are advised to run on the Cloud, where computing resources are abundant. The H2020 IoTwins project leverages the digital twin concept to implement virtual representation of physical assets (e.g., machine parts, machines, production/control processes) and deliver a software platform that will help enterprises, and in particular SMEs, to build highly innovative, AI-based services that exploit the potential of IoT/Edge/Cloud computing paradigms. In this paper, we discuss the design principles of the IoTwins reference architecture, delving into technical details of its components and offered functionalities, and propose an exemplary software implementation.
  • Publication
    Application lifecycle management for industrial iot devices in smart grid use cases
    ( 2020)
    Cejka, Stephan
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    Kintzler, Florian
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    Müllner, Lisa
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    Knorr, Felix
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    Mittelsdorf, Marco
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    Schumann, Jörn
    Complex cyber-physical systems like the Smart Grid, in which Industrial Internet of Things (IIoT) technology is used, require advanced software maintenance mechanisms to remain dependable and secure. In this paper, requirements and tasks for an application lifecycle management for IIoT use cases, with special focus on the domains of Smart Grid and Smart Buildings, are defined and state-of-the-art software deployment processes from IoT use cases are evaluated for usage in those domains. As there is no suitable framework, an approach for the deployment of OSGi components is described. On top of such software deployment tools, a knowledgebased software management framework that utilizes domain specific knowledge to create and execute software rollout plans will be presented. Thus, dependencies can be managed on device, system and domain level.
  • Publication
    Large scale rollout of smart grid services
    ( 2018)
    Kintzler, Florian
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    Gawron-Deutsch, T.
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    Cejka, Stephan
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    Schulte, J.
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    Uslar, M.
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    Veith, Eric
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    Piatkowska, E.
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    Smith, P.
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    Kupzog, F.
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    Sandberg, H.
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    Chong, M.S.
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    Umsonst, D.
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    Mittelsdorf, Marco
    In the domain of energy automation, where a massive number of software-based IoT services interact with a complex dynamic system, processes for software installation and software update become more important and more complex. These processes have to ensure that the dependencies on all layers are fulfilled, including dependencies arising due to the energy system controlled by IT components being a hidden communication channel between these components. In addition, the processes have to be resilient against faults in and attacks to both the energy grid and the communication network. The ERA-Net funded project LarGo! aims at developing and testing processes for the large scale rollout of software applications in the power grid domain as well as the user domain. This article describes a work in progress and the project's roadmap to solve the technical issues. It investigates the problems that arise from the interlocking of the two networks- the power grid and the communication network. Based on this analysis a first set of requirements for a rollout process in such a Smart Grid is derived and the chosen approach to verify the resilience of the developed processes under research is described.