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Program brochure MIPRO 2018

 

 

MIPRO TV
 
NEWSPRESSARCHIVE
Support for SME Industry in Cloud Service

CloudiFacturing is a new EU funded Innovation Action that is brings and progresses advanced ICT in the field of Cloud/HPC-based modelling and simulation, data analytics for online factory data, and real-time support to European manufacturing SMEs, contributing to their competitiveness and resource efficiency via optimizing production processes and producibility. CloudiFacturing will demonstrate technical and economic impact on the basis of more than 20 cross-national application experiments involving manufacturing companies, independent software vendors, technology consultants, digital innovation hubs and resource providers. CloudiFacturing takes the results of previous EU projects CloudFLow and CloudSME to a new level, and integrates them into a Digital Marketplace. The CloudiFacturing Digital Marketplace will be the one-stop-shop for the communities addressed by the project, and will become the primary access point for European manufacturing SMEs for Cloud/HPC-based tools for modelling and simulating producibility and production processes leveraging real factory data.
This presentation will provide a short overview of the CloudiFacturing project, outlining its aims and objectives and describing how the manufacturing sector can benefit from the provided solutions. Additionally, it will highlight the upcoming CloudiFacturing Open Calls that provide opportunity European SMEs to get funding and participate in the project.


Dr Tamas Kiss is a Reader in Distributed Computing at the Department of Computer Science and Director of the University Research Centre for Parallel Computing at the University of Westminster in London UK. He holds a PhD in Distributed Computing, and MSc Degrees in Mathematics and Computer Science, and Electrical Engineering. Currently Tamas is leading the EU H2020 COLA (Cloud Orchestration at the Level of Application) project that investigates how a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications can be created. He is also a member of the Executive Board and Coordinator of Application Experiments in the EU H2020 CloudiFacturing (Cloudification of Production Engineering for Predictive Digital Manufacturing) project that brings and progresses advanced information and communications technology in the field of cloud-based modelling and simulation, data analytics for online factory data, and real-time support to European manufacturing SMEs.
He has co-authored over 100 scientific publications in peer reviewed journals, high profile conference proceedings and as chapters of edited books, and served as chair and programme committee member in various international conferences and workshops in the areas of cloud computing, computational workflows and science gateways.


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Monday, May 14, 2018
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News
  • 5/21/2018

     Awarded papers
    Awards will be taken on
    May 23, 2018 at 10 am
    on the opening of MIPRA 2018

     

    MEET  Paper ID 5082: 
    Title: Sharpened Raised-Cosine FIR Filters 

     Authors:
    Goran Molnar, Ericsson Nikola Tesla d.d., Zagreb, Croatia, 
    Mateja Babić, Ericsson Nikola Tesla d.d., Zagreb, Croatia, 
    Zvonimir Šipuš, University of Zagreb Faculty of Electrical Engineering and Computing,Zagreb, Croatia,


    DS DC Paper ID 4899:
    Title: Evaluating-telemetric-ECG-body-sensor-signal-in-exercise-stress-test_

    Authors:
    Boris Širaiy, Institut Jožef Stefan, Ljubljana, Slovenia
    Vladimir Ilić, Faculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia
    Roman Trobec, Institut Jožef Stefan, Ljubljana, Slovenia

     

    CTI  Paper 4710 
    Title: On the Impact of the Dropping Function on the Packet Queueing Performance

    Authors:
    Dominik Samociuk , Silesian University of Technology, Gliwice, Poland, 
    Andrzej Chydzinski , Silesian University of Technology, Gliwice, Poland,


     Mipro Junior  Paper ID 4663:
    Title: Modeling Parallel Processing of Databases on the Central Processor Intel Xeon Phi KNL

    Authors: 
    Alexander Rekachinsky , South Ural State University, Chelyabinsk, Russian Federation,
    Roman Chulkevich, South Ural State University, Chelyabinsk, Russian Federation,
    Pavel Kostenetskiy, South Ural State University, Chelyabinsk, Russian Federation,

 
Patrons - random
Končar Elektroindustrija ZagrebENT ZagrebVIPnet ZagrebEkonomski fakultet RijekaIEEE Croatia Section