Enabling Grids for E-sciencE
Two Seismology Applications on
EGEE
D. Weissenbach, G. Moguilny, E. Clévédé, E. Stutzmann
and J.-P. Vilotte
Institut de Physique du Globe de Paris
CNRS - Institut des Grilles (France)
www.eu-egee.org
Information Society
and media
NERIES —Edimburgh
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6-7 November 08
The
EU
-
EGEE
Grid project
Enabling Grids for E-sciencE
Grid projects driven by the CERN LHC collider (∼ 10 PetaBytes/year).
Mutalize distributed CPUs and storage: today 80 K CPUs and 15 PB.
Beside LHC VOs, others like Earth Sciences (ESR) and Astronomy VOs.
Users submit jobs from a User Interface (UI) to a Resource Broker which
locates an appropriate Computing Element (CE) upon data proximity (Storage
Element or SE) and available CPUs using informations published on BDII
systems and VO catalogs.
gLite middleware ...
NERIES —Edimburgh
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6-7 November 08
GEOSCOPE
noise analysis
Enabling Grids for E-sciencE
Daily noise averages analysis
have been completed for all the
GEOSCOPE dataset
GEOSCOPE Network (G)
VOR
KAM
ECH
SSB
WUS
SCZ
INU
TAM
KIP
UNM
HDC
FDF
MBO
HYB
ATD
BNG
MPG
TAOE
RER
PPT
SPB
PEL
COYC
ROD
NOUC
CAN
NAM
TRIS
AIS
CRZF
PVC
DZM
PAF
DRV
real time / near-real time stations
temporarily interrupted stations
remotely accessible stations
planned stations
locally accessible stations
GMT
2007 Jun 5 13:56:47
• GEOSCOPE archive: 25 years,
≤ 30 stations, ∼ 1TB
• ∼ 7600 (short) jobs: perl +
FORTAN + (matlab →) octave
• processing: over 1 year
(GEOSCOPE data–center
latencies)
NERIES —Edimburgh
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Next step:
compute hourly averages;
incorporate as data annotations.
6-7 November 08
Application perspectives
Enabling Grids for E-sciencE
Grid UI
submit
➐
get output
➋
➎
➍
execution...
➏
ftp
Grid SE
netDC
• client-server implementation;
EG E
• interface for direct access to
Data Centers from the Grid
with minimal latency;
➏
submit
E grid
Grid Job
Grid UI
He
re?
ata
tad
me
➒
➎
➐
req
ue
st
➑
➊
➋ order
Data Center
NERIES —Edimburgh
➒
Data
Service
store
Grid SE
➍
t
ge
➌
ut
outp
• noise analysis as a proxy for
data annotation using higher
order extracted informations.
4
Grid Job
here
?
• improve noise application
worflow;
➊
re
qu
es
t
(m
ail
)
• shorter period noise analysis
of GEOSCOPE data sets;
➌
EG E
E grid
6-7 November 08
Earthquake
CMT
determination
Enabling Grids for E-sciencE
From Geoscope
From USGS
EarthQuake
Solomon Islands 2007/4/1
{
SEED Data
Acquired
From Near Real Time
Seismic Stations
First Estimation
of Earthquake
Parameters
Magnitude Mw = 8.1
Strike=331o Dip=38o Rake=120o
M 0 =1.6e28 Nm
N
E
Publish Results
Data
Pre−processing
Results
Available
Setting
Space parameters
CMT determination
Quality Control
Synthetics calculation
• 3D space grid (earthquake
location) × 1D time grid (source
duration) ∼ 1800 points
• Process: 600 CPU-hours.
• Gridified in 2004 (→ 48h
restitution time) since then
continuously optimized (→ 8h).
Linear inversion
Server instantiation
Jobs submission
Synthetic Seismograms
Archive
For each grid point, 6 Green
functions computed per component
for each station.
• Extensive job submission on VO
CEs; each running job requests
grid points until final completion.
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NERIES —Edimburgh
6-7 November 08
gCMT application perspectives
Enabling Grids for E-sciencE
From Geoscope
From USGS
EarthQuake
SEED Data
Acquired
From Near Real Time
Seismic Stations
First Estimation
of Earthquake
Parameters
Publish Results
Data
Pre−processing
Results
Available
Setting
Space parameters
CMT determination
Quality Control
Synthetics calculation
Linear inversion
Server instantiation
Jobs submission
Synthetic Seismograms
Archive
Speed-up of CMT-solution process
Re-engineer and optimize workflow
Green function: 80% of CPU time.
• definition of a global spatial grid
for the Earth upper lithosphere;
• improve interface between
external data center and the
EGEE Grid;
• construction of a synthetic
Green functions archive;
• add data center annotation
services for results propagation.
NERIES —Edimburgh
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6-7 November 08
Conclusions and Remarks
Enabling Grids for E-sciencE
• Grid infrastructures: new capacities for on demand or routine data
processing and analysis IF interfaced with the community’s data
centers.
• Some key issues:
– interfaces and services between seismological portals and Grid
infrastructures;
– Grid must be taken into account in European initiatives for data
storage and distribution;
– improve latency of data request and retrieval;
– add new functionalities for data sets annotation and push back
of extracted informations to improve data curation.
Problems could be adressed though collaboration between the EKIDNA European proposal and NERIES.
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NERIES —Edimburgh
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