grid activities in indonesia - event.twgrid.orgevent.twgrid.org/isgc2009/abstract/grid activities in...
TRANSCRIPT
Presentation Outline
• Early Development
• Objectives
• inGRID
• Recent Activities
– Weather Prediction Application
– Computational Chemistry
– Bioinformatics and Biomedics
– Mitigation of Natural Diaster
• Further Development
Early Development
• ITB’s connected to the TEIN2/3 Network
• Research on Grid in Indonesia started around 2006,
together with the development of INHERENT
(Indonesia Higher Education Network)
• INHERENT is Indonesian national Research and
Education Network that is connecting more than 200
universities in Indonesia.
TEIN3 Network Infrastructure
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Inherent Network 2009
5
Objectives
• Utilize computational resources available in
universities or research institutes in Indonesia to
develop grid computing infrastructure.
inGrid
• inGrid or Indonesian Grid infrastructure developed
by University of Indonesia using UCLA Grid Portal
consisting Globus Toolkit 4 grid middleware and
Gridsphere grid portlet framework.
http://grid.ui.ac.id/
http://grid.ui.ac.id/
inGrid Deployment Status
• Grid computing in Indonesia is still new beginning
• Start with several universities and start with less
than 50 computers
• inGrid utilize the INHERENT
inGrid Deployment Status (cont.)
• There are now (2008) two clusters connected to inGrid;
they are one production cluster from Faculty of
Computer Science UI, and one research cluster.
• Some application are available in the research
cluster, they are:
– Povray (3.1g) – gcc
– mpiBLAST – g77
– GNU Octave – GROMACS
Recent Activities
• In 2008 ITB join the EUAsiaGrid Project, whose
among the objectives are:
– Assisting regional integration to the wider Grid
Infrastructure,
– Capturing local e-Science requirements,
– Promoting common e-Science applications, both
existing and new ones,
http://www.euasiagrid.org
Recent Activities (cont.)
• Among existing Grid Application, ITB will be focused on:
– Weather prediction model
– Computational Chemistry
– Bioinformatics and Biomedical
– Mitigation of Natural Disasters
• ITB will also support local application to have benefit
from the use of the Grid, that is Weather Prediction
application
• ITB is building the Site for supporting the application on
Grid Technology and applications needed big
computational resources (weather model prediction).
• 3 – 5 CPU Connected to VO
Weather Prediction Application
• Weather prediction application running in ITB is the
only one weather prediction application in Indonesia.
• Currently using several computers for running the
computation.
– 32 Core
– Using PVM
• The data generate every 3 hours
Weather Prediction Application (cont.)
• This application is using MODIS data from
satellite image1 to generate weather forecast
information and displayed in a web page.
• Parameters used for this application like Infrared and
Water vapor are plotted to TBB (Temperature Black
Body) over Maritime Continent.
• The data model compare to the local weather station
1downloaded from Konichi University in Japan
Weather monitoring based on geostationary satellite (MTSAT)
infra red (IR) channel 1 (wavelength : 10.3-11.3 µm) imagery.
Water Vapor Channel
OLR and 10 Meter Hwind Analysis (shaded and
vector) for Asian Region
Convective Rainfall and 10 Meter Wind Analysis
(shaded and vector)
WRF Comparison
JMA-NHM Comparison
Temperature
Equiv . Potential Temperature
Cloud Water
MM5 Table (weather data computation result)
WRF Table (weather data computation result)
Weather prediction for ‘user’
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Weather Prediction Application (cont.)
• Due to the limited computation resource the
computation only done for weather forecast in
Java region. With the Grid program, the weather
prediction could be done with the more spesific
location and calculation.
Computational Chemistry
• Several universities in Indonesia try to build
the computational chemistry with limited
resources in computing power.
• One of the users are Chemisty are
Department of Chemistry in ITB and using
several computers to perform some
chemistry computations.
• By using grid infrastructure, those
computetion can be performed faster and in
larger scale
Bioinformatics & Biomedics
• The Bioinformatics in Indonesia are beginning
around three years ago. The activity is still using
several computers with the paralel virtual machine
(PVM), for the application in genome squence
analysis.
• ITB wants to mirror the Genome data bank and made
squence analysis for the new structure especially in
Indonesia. The squences analysis require the high
performance computing and grid facilities .
• With the TEIN3 Network , ITB has build the bio-
informatics mirror with the collaboration with APAN
(Asia Pacific Advanced Network).
Mitigation of Natural Disaster
• Many related activities and research in disaster management
had been done by ITB’s Center for Disaster Mitigation (CDM).
The activity of the CDM is in response to the national needs in
reducing disaster impact. The Mitigation of Natural Disasters
application surely will benefit the research performed in
disaster mitigation area.
• The focus area of the Disaster mitigation are Hazard map for
the mitigation and the vulnerabilities.
– The Hazard map focus on the seismic hazard map, earthquake hazard map, and
information hazard map for the mitigation (peoples).
– The vulnerabilities focus on the risk impact factors and risk area for infrastructure
such as road, electricity, water and other impact to the peoples.
• The development of this domain need for digitization, modeling
and visualization in data processing that demands Grid-
enabled high performance computing
Future Development
• To disseminate the state of art Grid technology in
Indonesia and assist e-Science Community in
Indonesia to connect to the Grid
• Integrate the available Grid Infrastructure in
Indonesia to the wider Grid Infrastructure
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Next Plan
• Future Plan for the 2nd Project Year(April 2009-March 2010)
– Setup and porting the application to Grid Infrastructure
– Dissemination the EUAsiaGrid to other Univ in Indonesia
– Conference on the Grid technology (Aug 2009)
– Training (July 2009 or Aug 2009)
• System administrator
• Develop the infrastructure for the VO
• Porting the application to the Grid Infrastructure
– Support the user for migrating the application to Grid
Bibliography
• “Rancangan Infrastruktur inGrid”, Grid Computing Research
Group, Fakultas Ilmu Komputer Universitas Indonesia, 2007.
• “Specifications And Requirements Of The Applications”,
EUAsiaGrid, 2009.
• inGrid website, http://grid.ui.ac.id
• EUAsiaGrid website, http://www.euasiagrid.org
• WCPL Experimental Weather Forecast,
http://weather.geoph.itb.ac.id/