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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
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Monthly Archive for: "March, 2018"
Home » Archives for March 2018
 The 2nd Quarterly Symposium on Data Centres – 10th April 2018, Dublin

The 2nd Quarterly Symposium on Data Centres – 10th April 2018, Dublin

27th March 2018

Ireland is seen as a “Digital Gateway to Europe” and recognised as a leading location for Data Hosting. However, with the emergence of the Zettabyte era and the volume of globally [...]

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     Call for Papers: Improving Resilience across the Cloud-to-Things Continuum

    Call for Papers: Improving Resilience across the Cloud-to-Things Continuum

    26th March 2018

    The emergence of Internet of Things (IoT) applications is transforming how society operates and interacts with each other. IoT applications rely on connected things that interact and cooperate [...]

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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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