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Project General Presentation This project hasreceived funding from - - PowerPoint PPT Presentation

European Cloud-In-MemoryDatabase Appliance with Predictable Performance for Critical Applications Project General Presentation This project hasreceived funding from the European Unions Horizon 2020 research and innovation programme under grant


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Project General Presentation

This project hasreceived funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 732051

European Cloud-In-MemoryDatabase Appliance with Predictable Performance for Critical Applications

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Project Information

  • Project Number: 732051
  • Program Type: Research and Innovation Action
  • Execution Period: 01/12/2016 – 30/11/2019
  • Budget: € 4,83M
  • Project Coordinator: Bull/Atos Technologies
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Partners

  • 12 from 7 countries (FR, ES, UK, IT, GR, PT, DE)
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Motivation

  • The CloudDBAppliance project will create a European cloud database appliance for providing

data analysis as a service, able to match the predictable performance, robustness and trustworthiness of on-premise architectures, featuring:

  • A vertically scalable in-memory operational databasefor time-critical applications
  • A fast analytical engine delivering real-time data
  • An operational data lake
  • The next-generation Bullion, with 120 cores and 32 TB of main memory
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What makes CloudDBAppliance unique?

New Bullion generation LeanXcale ultra- scalable Full SQL Full ACIDdatabase ActivePivot in-memory OLAP Real-time analytics Ultra-scalable in- memory streaming engine Data mining and machine learning

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Objectives

  • Deliver a European cloud databaseappliancewith a leading-edge hardware platform
  • Support robustness, trustworthiness, and predictable performance required by critical

applications

  • Improve the management of physical resources and efficiency of cloud systems to address

the challenges on scale and resilience posed by data intensive applications

  • Support real-time big data, real-time analytics, data mining and machine learning
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Applications Domains

Bank Sector

  • Real-time riskmonitoringin banking
  • ATM optimization

Telecommunications Sector

  • Mobile number portability

Retail Sector

  • Proximitymarketing
  • Real-time pricing
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Structure of the Project

High Availability Integrated Platform Operational Database Real-Time Analytics DynamicResource Reallocation Use Cases

Exploitation, Dissemination & Communication Project & Innovation Management

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This project hasreceived funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 732051.

www.clouddb.eu contact@clouddb.eu Twitter & LinkedIn