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Héméra is an INRIA Large Wingspan project, started in 2010, that aims at demonstrating ambitious up-scaling techniques for large scale distributed computing by carrying out several dimensioning experiments on the Grid’5000 infrastructure, at animating the scientific community around Grid’5000 and at enlarging the Grid’5000 community by helping newcomers to make use of Grid’5000. It is not restricted to INRIA teams.

The current list of teams participating to Héméra is:

  • ACADIE - Assistance à la Certification d’Applications DIstribuées et Embarquées
  • ALGORILLE - Algorithms for the Grid
  • APO - Algorithmes Parallèles et Optimisation
  • ASAP - As Scalable As Possible: foundations of large scale dynamic distributed systems
  • ASCOLA - Aspect and composition languages
  • ASTRE - Architecture, Systèmes, Temps-Réel, Embarqués
  • CEPAGE - Chercher et Essaimer dans les Plates-formes A Grande Echelle
  • DOLPHIN - Parallel Cooperative Multi-criteria Optimization
  • GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms.
  • GRAND-LARGE - Global parallel and distributed computing
  • ICPS - Scientific Parallel Computing and Imaging
  • KERDATA - Cloud and Grid Storage for Very Large Distributed Data
  • OASIS - Active objects, semantics, Internet and security.
  • MAESTRO - Models for the performance analysis and the control of networks
  • MESCAL - Middleware efficiently scalable
  • MINC - MIcro et Nanosystèmes pour les Communications sans fils
  • MRS – Modélisation et contrôle des Réseaux et Signaux
  • MYRIADS - Design and Implementation of Autonomous Distributed Systems
  • REGAL - Large-Scale Distributed Systems and Applications
  • RESO - Protocols and Software for Very High-Performance Network
  • RUNTIME - Efficient runtime systems for parallel architectures
  • SAGE - Simulations and Algorithms on Grids for Environment

Scientific Challenges

Scientific challenges concentrate effort of some partners on well defined issues, such as a particular experiment on Grid’5000. Scientific challenges are expected to be bound in time. However, a scientific challenge may contain several sub-challenges, typically representing various steps toward the ultimate challenges.

The current list of scientific challenges is:

  • Network
    • Traffic Awareness
  • System
    • Robustness of Large Systems in Presence of High Churn
    • Energy Profiling of Large Scale Applications
  • Programming Paradigm
    • Large Scale Computing for Combinatorial Optimization Problems
    • Scalable Distributed Processing Using the MapReduce Paradigm
  • Domain Specific
    • Multi-parametric Intensive Stochastic Simulations for Hydrogeology
    • Thinking GRID for Electromagnetic Simulation of Oversized Structures

Working Groups

Working groups aims to animate a part of the community around scientific themes

The current list of working groups with their leaders is:

  • Transparent, safe and efficient large scale computing
    • Stéphane Genaud (ICPS), Fabrice Huet (OASIS)
  • Energy Efficient Large Scale Experimental Distributed Systems
    • Laurent Lefèvre (RESO), Jean-Marc Menaud (ASCOLA)
  • Bring Grids Power to Internet-Users thanks to Virtualization Technologies
    • Adrien Lèbre (ASCOLA), Yvon Jégou (MYRIADS)
  • Efficient exploitation of highly heterogeneous and hierarchical large-scale systems
    • Olivier Beaumont (CEPAGE), Fré́dé́ric Vivien (GRAAL)
  • Efficient management of very large volumes of information for data-intensive applications
    • Gabriel Antoniu (KERDATA), Jean-Marc Pierson (ASTRE)
  • Completing challenging experiments on Grid’5000
    • Lucas Nussbaum (ALGORILLE), Olivier Richard (MESCAL)
  • Modeling Large Scale Systems and Validating their Simulators
    • Martin Quinson (ALGORILLE), Arnaud Legrand (MESCAL)
  • Network metrology and traffic characterization
    • Paulo Gonçalves (RESO)