KERDATA - 2014 - Annual activity report

KERDATA

KERDATA - 2014

Project-Team Kerdata

Members

Overall Objectives

Context: the need for scalable data management
Objective: efficient support for scalable data-intensive computing

Research Program

Our goals and methodology
Our research agenda

Application Domains

Joint genetic and neuroimaging data analysis on Azure clouds
Structural protein analysis on Nimbus clouds
I/O intensive climate simulations for the Blue Waters post-Petascale machine

New Software and Platforms

Major Software
New Software

New Results

Highlights of the Year
Data Management for Geographically Distributed Workflows
Optimizing Map-Reduce processing
Energy-Aware Data Management in the Cloud and Exascale HPC Systems
Scalable I/O and Visualization for Exascale Systems
Data Streaming and Small Data

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Major publications
Publications of the year
References in notes

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2014 Project-Team Activity Report

KerData

Scalable Storage for Clouds and Beyond

Research centre: Rennes - Bretagne-Atlantique

In partnership with: Institut national des sciences appliquées de Rennes, Université Rennes 1, Ecole normale supérieure de Cachan

In collaboration with: Institut de recherche en informatique et systèmes aléatoires (IRISA)

Field: Networks, Systems and Services, Distributed Computing

Theme: Distributed and High Performance Computing

Keywords: High Performance Computing, Big Data, Cloud Computing, Middleware, Data Management, Data Storage