Hemera:SC

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.

• Network
  • Traffic Awareness -- Paulo Gonçalves (RESO), K. Avrachenkov (MAESTRO)
• System
  • Energy Profiling of Large Scale Applications -- Laurent Lefèvre (AVALON), Jean-Marc Pierson (IRIT), Jean-Marc Menaud (ASCOLA)
  • Robustness of Large Systems in Presence of High Churn -- Pierre Sens (REGAL), Jean-Marc Vincent (MESCAL)
  • Orchestrating Experiments on the gLite Production Grid Middleware -- Lucas Nussbaum (ALGORILLE), Frédéric Suter (CC IN2P3).
  • OpenStack on Grid'5000 -- Lucas Nussbaum.
  • Large Scale Management of Virtual Machines -- Adrien Lèbre (ASCOLA)
  • I/O and in-situ Visulization for HPC -- Gabriel Antoniu (KerData).
• Programming Paradigm
  • Large Scale Computing for Combinatorial Optimization Problems -- Bilel Derbel (DOLPHIN), Nouredine Melab (DOLPHIN)
  • Scalable Distributed Processing Using the MapReduce Paradigm -- Gabriel Antoniu (KERDATA), Gilles Fedak (GRAAL)
  • Big Data Analytics -- Reza Akbarinia (Zenith), Florent Masseglia (Zenith) and Patrick Valduriez (Zenith)
  • Evaluating the performance of large-scale triplestores with Big Linked Datasets -- CEDAR.
  • Low Level Component Model Enabling Performance Portability of HPC Applications -- Christian Perez (Avalon)
• Domain Specific
  • Thinking GRID for Electromagnetic Simulation of Oversized Structures -- Hervé Aubert (MINC-LAAS), Thierry Monteil (MRS-LAAS), Patricia Stolf (ASTRE-IRIT)
  • Multi-parametric Intensive Stochastic Simulations for Hydrogeology -- Jocelyne Erhel (SAGE)