MELODIC - Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing

  • Research and Innovation
  • European
  • Cloud
  • Federation
Last updated: 2021-10-27 03:25

EU Contribution
  • €4,890,223.75
Overall Budget
  • €4,890,223.75

Stakeholders


    Academic/Research Organisations
  • Czech Republic
    CE-TRAFFIC AS (Czech Republic)
  • Greece
    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS (Greece)
  • Norway
    SIMULA RESEARCH LABORATORY AS (Norway)
  • Germany
    UNIVERSITAET ULM (Germany)
  • Norway
    UNIVERSITETET I OSLO (Norway)
  • Industry
  • Poland
    7BULLS.COM SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA (Poland)
  • Germany
    CAS SOFTWARE AG (Germany)

Strategic Goals

It has become increasingly important to transfer loads between cloud environments of different vendors – Multi-Cloud approach – as well as to create applications in such a manner that they can be automatically deployed in different environments. However, cloud solution providers have a very diversified offer, different ways of using it (API) and various, incomparable price lists. In addition, it is in the interest of suppliers to attach the client as much as possible to each other and prevent him from moving to another supplier (vendor lock-in).

Solutions Developed / Used

MELODIC will enable data-intensive applications to run within defined security, cost, and performance boundaries seamlessly on geographically distributed and federated cloud infrastructures. Serving the user’s needs and constraints, MELODIC will realise the potential of Cloud computing for big data and data-intensive applications by transparently taking advantage of distinct characteristics of available private and public clouds, dynamically optimise resource utilisation, consider data locality, conform to the user’s privacy needs and service requirements, and counter vendor lock-in.

Description

Start Date

01/12/2016

End Date

31/01/2020

Project Focus

  • Operator

Geographical Scope

  • European

Keywords

  • Cloud
  • Federation

Cloud Delivery Model

  • SaaS

Cloud Deployment Model

  • Hybrid

Project Life-Cycle Stage

  • Research and Innovation

Industry

  • Information and Communication

Industry

  • Small and Medium Enterprises (SMEs)

Technology

  • Big Data