LEADS: Large-Scale Elastic Architecture for Data as a Service
Responsable du projet Pascal Felber
Etienne Rivière
Collaborateur Raluca Halalai
Marcelo Pasin

Anita Sobe

Pierre Sutra
Résumé LEADS is a research project funded by the European Commission under the FP7. Three universities and four companies team up to build and demonstrate a novel cloud service model named Data-as-a-Service, on top of an innovative infrastructure based on multiple energy-conscious micro-clouds.

LEADS works on answering the demand of companies wishing to exploit the wealth of public data available on today's Internet. Large IT-oriented companies can crawl, store, and query large amounts of data in their own premises. Small companies and companies that are not on the Internet analytics business may still want to:
- Analyze the Web graph to extract business intelligence;
- Match company-specific private data to public data;
- Monitor in real-time public data evolution and detect trends, identify opinion leaders, etc.;
- Propose novel data-enabled services: complex graph analytics, real-time data aggregation, ...

Yet, many companies may not be able or willing to crawl, store and process in-house, because of its associated high cost, complexity, or simply because they miss the necessary expertise. Can these companies rely on larger ones for accessing and processing public content? Querying capabilities, and data freshness and comprehensiveness would depend on the provider's good will. Also, there are little guarantees on confidentiality. Data is power, and power is seldom willingly shared.

LEADS proposes Data-as-a-Service as a solution to the need for small actors to take advantage of big public data, by mutualizing the costs of extracting, storing and processing public data, while offering rich and extensible possibilities, including privacy-protecting querying on public and private data including data updated in real-time, and more.
Mots-clés Cloud Computing, Data as a Service, Big Data, Storage, Geo-distribution, Dependability
Page internet http://www.leads-project.eu/
Type de projet Recherche fondamentale
Domaine de recherche Informatique
Source de financement European Commission Seventh Framework Programme (FP7)
Etat Terminé
Début de projet 1-10-2013
Fin du projet 30-9-2015
Budget alloué €749'789.00
Autre information This project is coordinated by UniNE, with 2 other university partners (TU Dresden, Germany and Technical University of Crete, Greece), one research center (Barcelona Media, Spain), and three companies (Red Hat, Cloud & Heat and adidas)
Contact Etienne Rivière