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

Objective

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.

These benefits are achieved by integrating and extending the results and the open source platforms available from three major European Cloud projects with the Hadoop and Spark big data frameworks: The PaaSage platform will be used for intelligent and autonomic cross-cloud deployment and is extended with data aware modelling and deployment configuration reasoning; the CACTOS platform is extended with support for Hadoop and Spark in cross-Cloud application deployment and management; and the PaaSword platform will ensure unified data security and cross-Cloud privacy.

MELODIC will integrate with the existing open source development teams for these platforms and the contributions will be released back to the used platforms as open source. The integrated MELODIC platform will be maintained and exploited by a professional software house, and tested in several demanding real world applications: scalable Customer Relationship Management, real-time optimised traffic routing, and fast and scalable processing of genomic data.

Fields of science

• natural sciences › computer and information sciences › computer security › data protection
• natural sciences › computer and information sciences › data science › big data
• natural sciences › computer and information sciences › software › software development
• social sciences › economics and business › business and management › business models

Programme(s)

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

• ICT-06-2016 - Cloud Computing

Call for proposal

H2020-ICT-2016-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITETET I OSLO

Address

Problemveien 5-7
0313 Oslo
Norway

Activity type

Higher or Secondary Education Establishments

Links

EU contribution

€ 653 911,25

Participants (6)

7BULLS.COM SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA

Poland

EU contribution

€ 988 091,25

Address

Ul. Al. Szucha 8
00 582 Warszawa

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links

CAS SOFTWARE AG

Germany

EU contribution

€ 621 875

Address

Cas Weg 1-5
76131 Karlsruhe

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Greece

EU contribution

€ 549 645

Address

Patission Str. 42
10682 Athina

Activity type

Research Organisations

Links

SIMULA RESEARCH LABORATORY AS

Norway

EU contribution

€ 885 470

Address

Kristian August Gate 23
0164 Oslo

Activity type

Research Organisations

Links

UNIVERSITAET ULM

Germany

EU contribution

€ 717 677,50

Address

Helmholtzstrasse 16
89081 Ulm

Activity type

Higher or Secondary Education Establishments

Links

CE-TRAFFIC AS

Czechia

EU contribution

€ 473 553,75

Address

Prvniho Pluku 621/8A
186 00 Praha

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links