grid-enabled research activities in cas kai nan computer network information center (cnic) chinese...
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Grid-enabled Research Activities in CAS
Kai NanComputer Network Information Center (CNIC)
Chinese Academy of Sciences (CAS)Shanghai, 21 Feb 2006
Outline
• I. Background– CAS Informatization Program 2001-2005– CAS e-Science Initiative 2006-2010
• II. Grid-enabled Research Activities– Middleware– Applications
• III. Collaborations with EU
Vision of CAS Informatization
• e-Science + ARP →Digital CAS
• e-Science represents Informatization of Research Activities
• ARP (Academia Resource Planning) represents Informatization of Administrative Activities for Research
CAS Informatization Program(2001-2005)
• Major Projects– emphasis on Upgrade of Infrastructure
Progress
Infrastructure Item By 2000 2005
Networking
core 1Gbps 2.5Gbps
backbone 2Mbps N*155M+2.5G
Oversea link 55Mbps 620M+12G
HPC
Peak TFLOPS 0.13 5.5
Linpack TFLOPS 0.05 4.3
Storage 2.1TB 182TB
Scientific Database
Member institutes 21 >45
Databases 180 400+
Data volume 725GB 15TB+
Resources
• Lenovo 6800Superserver
• Storage
• VizWall
• Scientific Data (SDB)
• Science DigitalLib (CSDL)
CAS e-Science Initiative2006-2010
• e-Science would be applications-driven
• focus on implementation of e-Science Virtual Labs, the way for scientists to use
• infrastructure may need refactoring
e-Science Virtual Labs
• “Virtual Labs”• special meanings in
the e-Science context• the key position in our
e-Science framework• the core component
to make e-Science a reality
vLabs Requirements
• Infrastructure may be (almost) ready, but e-Science is not yet.– so many existing resources in place, but just a few could be
brought into full play even now, with an advanced infrastructure ready.
• bottleneck may be the gap between products by computer experts and end users of domain scientists
• much more effort than expected to bridge this gap• Virtual Lab is proposed to be
– a basic unit of research activity in the e-Science environment – the right user interface between scientists and their e-Science
environment
vLabs Goals
• With Virtual Labs, – all kinds of resources could be integrated into
a single access point; – customized and flexible services would be
provided according to the specific requirements of different domains in an easier way than ever before;
– multidisciplinary, multi-site and multi-organization collaboration could be carried out on a routine basis.
Grid Middleware
Scientific Database (SDB)& Scientific Data Grid (SDG)
45 institutes participated503 databases
16.6 TB
236-CPU Superserver (1TF)20TB Disk Array
50TB Tape LibraryVizWall & Access Grid
Requirements and SDG
• How to FIND the data I want from hundreds or thousands of databases
• How to ACCESS large-scale, distributed and heterogeneous scientific data uniformly and conveniently
• How to make sure all this goes always in a SECURE and proper way
SDG Software Architecture
Data Access Service (DAS)
• Uniform Access Interface (read-only)
• Rich metadata
• Easy publish on web
• flexible configuration and extensibility
DAS modules
Data Access InterfaceData Access Interface
Virtual Database
Physical Database
MappingBuilder
DataView
检索词:日食 天象
中国古代天象记录(日食)数据库 DataView 服务
年号年代:康熙
SDG Services
grid-enabled Applications
e-Science applications
• High Energy Physics
• Astronomy
• Biology
• Natural Resources
• Disaster Reduction
• …
YBJ-ARGO/AS• Italy,Japan-China
cosmic ray observatories in Tibet.
• 200TB raw data per year.
• Data transferred to IHEP and processed with 400 CPUs.
• Rec. data accessible by collaborators.
YBJ-ARGO
• Established a 8Mb/s link from Tibet to Beijing, by CNIC of CAS. To be upgraded to 155Mb/s soon. Stopped bringing tapes half year agao.
• Building a computing system based on LCG,collaboration of IHEP of CAS, CNIC of CAS, INFN of Italia , EU-China Grid application under EU FP6 project
LCG Tier-1/2
• to build a LCG Tier-1/2 node in China
• Institute of High Energy Physics of CAS
• CNIC providing support and working together with IHEP
LCG2 production site @CNIC
http://goc.grid.sinica.edu.tw/gstat/BEIJING-CNIC-LCG2-IA64/
Monitoring Info on BEIJING-CNIC-LCG2-IA64
Chandra
Hubble
MMT
Smm array
VLA
Antartica submm Magellan 6.5m
Whipple -ray
SIRTF
Oak Ridge
1.2m CO
VO = World Wide Telescope
Data Services Application Tools Grid Services Catalog
China Virtual Observatory at SDG Portal
Avian Bird Flu Alarming & Predicating System
By: Institute of Microbiology, CAS Institute of Zoology, CAS Institute of Virology, CAS CNIC, CAS
Avian Bird Flu in Gangcha, Qinghai Province, May 2005
上千支鱼鸥、棕鸥、斑头雁死亡
Tasks
• Integrate bird-flu basic databases from multiple institutes
• Field survey on bird-flu• Establish bioinformatics comprehensive analysis
system for bird-flu• Establish bird-flu alarming and predicting system• Establish international cooperative work
environment• Establish information publishing system (web)
Bird-flu basic databases
• Standards– Bird-flu basic database’s model and data standard– Metadata specification and description language of bird-flu
information
• Data resources– Bird-flu virus resource database– Bird-flu virus inherent resource database– Bird-flu history database– Bird-flu dynamic monitoring database– Bird-flu host database– Bird-flu information database– Bird-flu international DNA database– Bird-flu international research progress database
Technical architecture
Distribute Model
Survey on source
SDB
Winter Survey Data
Predicting
Host data
Survey data
Virus data
avian trade routes
Model E
valu
atio
n
Syste
m
Model Database
Model Storage
Model verificati
on
IAPIAP Program “Program “Global NaturalGlobal NaturalHazards Hazards and Disaster and Disaster ReductionReduction””
East Asia Resource Environment Collaborative Research Network• a network connecting
a dozen of institutes and stations from China, Russia and Mongolia
• a series of data products which integrate many relevant databases in this area and support application research
• a platform for int’l collaborative research
Global NaturalHazards and Disaster Reduction• issues in disaster reduction
– Development of mechanism of major natural disaster– Prediction of major natural disaster;– Assessment of major natural disaster;– Pre-warning and emergency response of major natura
l disaster– Regional integrated research on major natural disaste
r
• Database Construction & Application on “Natural Disaster Mitigation”
• Disaster simulation
Collaborations with EU
• Ongoing– EUChinaGrid: Interconnection and Interopera
bility of Grids between Europe & China– Infrastructure is being better
• Look forward to– further more on MIDDLEWARE & APPLICATI
ONS
Thank you!