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Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications
  • About
    • Work Packages
    • Public Deliverables
    • External Advisory Board
  • Partners
    • Ulm University
    • Umeå University
    • Dublin City University
    • IMDEA Networks Institute
    • Tieto
    • Linknovate
    • Intel
    • SATEC
    • BT
    • CERTH-ITI
  • Use Cases
  • Publications
    • Deliverables
    • Journal Articles
    • Conference Papers
    • Book Chapters
    • White Papers
  • Software
    • Simulators
    • Application Optimiser
    • Monitoring & Storage
    • Workload Generators
    • Infrastructure Optimiser
    • OpenStack Infrastructure Manager
    • Visualisation Toolkit
    • AutoML
    • CLI Tool
    • Workload Predictor
  • Media
    • Videos
    • Market & IP Briefings
    • Photo Gallery
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Presentation Slides

Home » Presentation Slides
 Seminar: Dependability, Simulation and Modelling

Seminar: Dependability, Simulation and Modelling

16th November 2018

On Thursday, November 15, 2018, DCU Business School, the Irish Centre for Cloud Computing and Commerce and the RECAP project organised a research seminar on dependability, simulation and [...]

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     Driving your Digital Transformation (Siemens-IRDG Conference)

    Driving your Digital Transformation (Siemens-IRDG Conference)

    13th June 2018

    Prof. Theo Lynn (DCU) attended and presented at the joint Siemens / IRDG event that took place on Wednesday, 13 June at The Hogan Suite, Croke Park. This half-day event was a part of IRDG’s [...]

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       VIDEOS and SLIDES: The 2nd Quarterly Symposium on Data Centres

      VIDEOS and SLIDES: The 2nd Quarterly Symposium on Data Centres

      8th May 2018

      The 2nd Quarterly Symposium on Data Centres took place on April 10, 2018, hosted in conjunction with the National Conference on Cloud Computing and Commerce (NC4 2018). #NC42018 is in full swing [...]

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         RECAP at the YERUN Launch Event

        RECAP at the YERUN Launch Event

        16th November 2017

        The Young European Research University Network (YERUN) is an organisation to strengthen and facilitate cooperation in the areas of scientific research, academic education and services of use to [...]

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           Market Briefing: The Data Center Market

          Market Briefing: The Data Center Market

          10th August 2017

          Modern data centers are buildings where computing and telecommunications equipment is located for their common environmental requirements, maintenance and physical security needs. The data center [...]

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             RECAP Project Overview Slide Deck

            RECAP Project Overview Slide Deck

            21st April 2017

            A project overview presented by Sergej Svorobej (Dublin City University) on March 10, 2017. RECAP Project Overview from RECAP Project

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            Latest News
            • Case Study: RECAP Capacity Planning for a Cloud-based Big Data Talent Matching Service
              Case Study: RECAP Capacity Planning for a Cloud-based Big Data Talent Matching Service
              21st May 2020
            • Optimisation of Edge Networks and their Distributed Applications
              Optimisation of Edge Networks and their Distributed Applications
              28th January 2020
            • D4.4 Final System Architecture and Integration
              D4.4 Final System Architecture and Integration
              23rd January 2020
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            ABOUT RECAP
            RECAP is a H2020 project to develop the next generation of cloud, edge and fog computing capacity provisioning via targeted research advances in cloud infrastructure optimisation, simulation and automation.
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                This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732667
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