Grid-enabled Research
Activities in CAS
Kai Nan
Computer 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
Networking
Item
1Gbps
2.5Gbps
backbone
2Mbps
N*155M+2.5G
55Mbps
620M+12G
Peak TFLOPS
0.13
5.5
Linpack TFLOPS
0.05
4.3
2.1TB
182TB
21
>45
180
400+
725GB
15TB+
Storage
Member institutes
Scientific
Database
2005
core
Oversea link
HPC
By 2000
Databases
Data volume
Resources
• Lenovo 6800
Superserver
• Storage
• VizWall
• Scientific
Data (SDB)
• Science Digital
Lib (CSDL)
CAS e-Science Initiative
2006-2010
• 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 multiorganization collaboration could be carried out
on a routine basis.
Grid Middleware
Scientific Database (SDB)
& Scientific Data Grid (SDG)
45 institutes participated
503 databases
16.6 TB
236-CPU Superserver (1TF)
20TB Disk Array
50TB Tape Library
VizWall & 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
DataView
Data Access Interface
Virtual Database
MappingBuilder
Physical Database
SDG Services
中国古代天象记录（日食）数
据库DataView服务
检索词：
日食 天象
年号年代：康熙
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
VO＝World Wide Telescope
Chandr
Whipple -raya
Oak
Ridge
1.2m
C
O
MMT
SIRTF
Hubble
VLA
Smm array
Antartica submm
Magellan 6.5m
China Virtual Observatory at SDG Portal
Data Services
Application Tools
Grid
Services
Catalog
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
Model Database
Model
verificat
ion
Model
Storage
Host data
Model Evaluation
System
Survey
data
Virus
data
avian
trade
routes
Distribute
Model
Survey on
source
Winter Survey
Data
Predicting
SDB
IAP Program “Global Natural
Hazards and Disaster Reduction”
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 Natural
Hazards 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
natural disaster
– Regional integrated research on major natural
disaster
• Database Construction & Application on “Natural
Disaster Mitigation”
• Disaster simulation
Collaborations with EU
• Ongoing
– EUChinaGrid: Interconnection and
Interoperability of Grids between Europe &
China
– Infrastructure is being better
• Look forward to
– further more on MIDDLEWARE &
APPLICATIONS
Thank you!