Overview of grid / cloud research in France M. Dayd Institut des - - PowerPoint PPT Presentation

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Overview of grid / cloud research in France M. Dayd Institut des Grilles, CNRS / INS2I June 1 st 2010 Introduction Large scale distributed infrastructures , Grids since 10 years and Clouds nowadays attract considerable attention in

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Overview of grid / cloud research in France

  • M. Daydé

Institut des Grilles, CNRS / INS2I June 1st 2010

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SLIDE 2

Introduction

  • « Large scale distributed infrastructures »,

Grids since 10 years and Clouds nowadays attract considerable attention in France as in

  • ther countries
  • Attempt for an overview of grid research in

France in terms of topics, structuration and trends

  • Based both on the work effected within the

Grid'5000 community and on the web sites / activity reports of the labs : likely not exhaustive

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Research topics

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Research topics

  • Research adressing large scale distributed

computed infrastructures is quite old and have started in the nineties for Grid Computing. Since 2008 Cloud Computing has emerged as a hot topic.

Grid (blue) vs Cloud (red) on Google

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Researches on Large Scale distributed platforms (large clusters, grids, clouds, sensor networks, …)

  • Environment: middleware, efficient use, distributed

systems / objects / software infrastructures, large scale data management, security, virtualization, reconfiguration, autonomic management,heterogeneity, ...

  • Services : service oriented computing,

management, dynamic adaptation, workflows

  • Distributed applications: new concepts, languages

and tools, context-sensitive applications, mathematical modelling, abstraction

  • Objects or software components architectures for

distributed intelligent systems

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Researches on Large Scale distributed platforms (con't)

  • Algorithms and scheduling: distributed

algorithms, P2P, large scale computations, combinatorizal and NP-hard problems, ...

  • Design of distributed applications, parallel

programming, refinement, development and proof of parallel programs, application of formal languages, models

  • Approximatively 530 researchers (450

academics, 50 INRIA researchers and 30 CNRS researchers).

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Grid / Cloud research topics

  • Environment: middleware, languages, libraries, high

performance execution support, networks, communications, energy, …

  • Management of ressources: virtualization, autonomic

administration, workflows...,

  • Management of data in large scale distributed systems

(clusters, grid and P2P), distributed storage of data

  • Scaling, algorithms and scheduling
  • High performance networks
  • Pervasive grids
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Grid / cloud research topics (con't)

  • Modelization and utilization of large scale data and

computing infrastructures

  • Gridification of applications : simulations and numerical

algorithms in various areas (environment, electromagnetism, chemical engineering, biology, health, linear algebra, combinatorial problems, …)

  • 12% of researchers in computer science are studying

large scale distributed infrastructures. Within these 12% around 310 researchers (7%) are working on grids and clouds

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Overall structure of Grid Research in France

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The Grid'5000 research community

  • Most of the grid research in France (3/5 of

researchers) is structured around the GRID'5000 national platform

  • The ALADDIN-GRID'5000 initiative driven by

INRIA ensures the development and the support of the infrastructure.

  • The HEMERA initiative also supported by

INRIA is in charge of the scientific animation around Grid'5000. It is organized around scientific challenges and working groups.

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Grid'5000 nation-wide experimental platform

  • 9 french sites: Bordeaux,

Grenoble, Lille, Lyon, Nancy, Orsay, Sophia-Antipolis, Toulouse et Rennes connected using RENATER – and one brasilian site (Porto Alegre).

  • It provides over 5,000 cores.
  • Goal of Grid'5000: nation-

wide platform for distributed computing at large scale.

  • See http://grid5000.fr
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HEREMA

  • 21 teams (15 INRIA, the 6 left are in

Strasbourg and Toulouse).

  • All teams are in labs associated to CNRS

(most are computer science labs in INS2I, 2 in INSIS)

  • 174 researchers (119 academics, 38 INRIA

and 17 CNRS) which is 3/5 of the researchers in grid in France.

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Scientific challenges in Hemera

Network:

  • 1. Traffi

c Awareness System:

  • 2. Energy profiling of large scale applications
  • 3. Robustness of large systems in presence of high churn

Programming paradigm:

  • 4. Large scale computing for combinatorial optimization problems
  • 5. Scalable Distributed Processing Using the MapReduce Paradigm

Application domain specific:

  • 6. Multi-parametric intensive stochastic simulations for hydrogeology
  • 7. Thinking GRID for Electromagnetic Simulation of oversized

structures

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Working Groups in HEMERA

  • Transparent, safe and effi

cient large scale computing

  • Energy Effi

cient Large Scale Experimental Distributed Systems

  • Bring Grids Power to Internet-Users thanks to Virtualization

Technologies

  • Effi

cient exploitation of highly heterogeneous and hierarchical large-scale systems

  • Effi

cient management of very large volumes of information for data-intensive applications

  • Completing challenging experiments on Grid’5000
  • Modeling Large Scale Systems and Validating their Simulators
  • Network metrology and traffi

c characterization

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Research teams involved in HEMERA

  • Bordeaux : CEPAGE and RUNTIME (LaBRI).
  • Grenoble :MESCAL (LIG).
  • Lille : DOLPHIN (LIFL).
  • Lyon : GRAAL and RESO (LIP).
  • Nantes : ASCOLA (LINA).
  • Paris : GRAND-LARGE (LRI) and REGAL (LIP6).
  • Rennes : ASAP, KERDATA, MYRIADS, SAGE (IRISA)
  • Nice-Sophia : OASIS (I3S).
  • Strasbourg : ALGORILLE (LORIA), ICPS (LSIIT).
  • Toulouse : ACADIE , APO , ASTRE (IRIT), MINC and

MRS (LAAS)

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Other Grid Teams

  • Team of David Hill (LIMOS, Univ. Clermont).
  • AND and CARTOON (LIFC, Univ. Franche-Comté)
  • MAP (LIFL, Lille).
  • ATLAS-GDD (LINA, Nantes).
  • PRV (LIFO, Orléans).
  • Groupe Grilles (LAL, Orsay).
  • PEQUAN (LIP6, Paris).
  • T2I (LMA, Univ. Pau),
  • Groupe SysCom (CRESTIC, Univ. Reims).
  • MODALIS (I3S, Nice-Sophia).
  • Around 124 researchers (119 academic + 4 CNRS + 1 INRIA).
  • All labs associated to CNRS except 2 (Pau, Reims)
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CEPAGE, RUNTIME (LaBRI)

ACADIE , APO , ASTRE (IRIT), MINC, MRS (LAAS) MESCAL (LIG)

DOLPHIN (LIFL) GRAAL, RESO (LIP)

ASCOLA (LINA) GRAND-LARGE (LRI), REGAL (LIP6)

ASAP, KERDATA, MYRIADS, SAGE (IRISA) OASIS (I3S) ALGORILLE (LORIA) ICPS (LSIIT)

  • D. Hill (LIMOS)

PRV (LIFO) Groupe Grilles (LAL) PEQUAN (LIP6) T2I (LMA) SysCom (CRESTIC) MODALIS (I3S) MAP (LIFL)

ATLAS-GDD (LINA)

AND, CARTOON (LIFC)

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Some trends in grid / cloud computing

Working groups in HEMERA give some of major trends for the next years:

  • Models for large scale distributed infrastructures,

experimental methodology, reproducibility of experiments

  • Security on large scale platforms (cluster, grids, clouds, …)
  • Taking into account dynamicity at all levels: virtualization,

autonomic management, monitoring, process automation, …

  • Mastering scalability
  • Energy-aware management of ressources : algorithms,

scheduling, monitoring, …

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Emerging topics specific to cloud

  • Cloud architectures and provisioning
  • Grid / Cloud interoperability, private / public

cloud interoperability

  • Cloud and HPC
  • Programming models, applications and

middleware suitable for dynamic cloud environments.

  • Novel human interfaces and browsers for

accessing clouds: interaction of mobile computing, mCommerce and Clouds. ...

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Large amounts of data

  • Crucial issue: management and exploitation of large amount
  • f data (possibly heterogeneous)

– arising from numerical simulations at Terascale (and

soon Exascale)

– or from various applications in biology, high energy,

semantic web, …

  • These data are often processed on large scale distributed

infrastructures (e.g. data arising from the LHC).

  • Storing / indexing them and performing some post-processing

for information retrieval or visualization purposes still require efforts and interactions between the various communities (grid / cloud, visualization, large scale databes / data warehouses, ..).

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Conclusion

  • Well structured grid / clouds research in France:

– major initiative (Grid'5000) driven by INRIA – strong involvement of CNRS – Software pervasing from to research to production

(DIET, XTREMWEB, OAR, Kadeploy, Proactive, ...)

  • Good visibility at international level:

– EU : CoreGrid network, forthcoming EU project (PIRE ?) – Cooperations: NAREGI( Japan), DAS-3 (Netherlands),

FutureGrid (USA), ...

  • Grid'5000 is a pionneering platform (flexibility, reproducibility
  • f experiments, system image deployment)
  • Interactions production / research grids
  • Interaction grid / cloud / HPC / large scale data management