Scientific Collaboration Cyberspace

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Scientific Collaboration Cyberspace TieJian Luo Ph.D. [email protected]

description

Scientific Collaboration Cyberspace. TieJian Luo Ph.D. [email protected]. Agenda. Motivation Modeling Collaboration The Challenges for e-scientists Five Pilot Projects Lessons learned. New Science Paradigms. Thousand years ago: Experimental Science - PowerPoint PPT Presentation

Transcript of Scientific Collaboration Cyberspace

Page 1: Scientific Collaboration Cyberspace

Scientific Collaboration Cyberspace

TieJian Luo Ph.D.

[email protected]

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Agenda

Motivation Modeling Collaboration The Challenges for e-scientists Five Pilot Projects Lessons learned

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New Science Paradigms Thousand years ago:

Experimental Science - description of natural phenomena

Last few hundred years: Theoretical Science - Newton’s Laws, Maxwell’s Equations …

Last few decades: Computational Science - simulation of complex phenomena

Today: e-Science or Data-centric Science - unify theory, experiment, and simulation - using data exploration and data mining Data captured by instruments Data generated by simulations Processed by software Scientist analyzes databases/files(With thanks to Jim Gray)

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Scientific Computing Research Paradigm

extract information

data

simulation

Data mining

deduce

model

idea

Scientific computing

result

Verify model( 1 ) problem model

( 2 ) experiment, data collectio

n

( 3 ) get computing resource

( 4 ) computing, verify model

Deduce natural law( 1 ) identify problem domain( 2 ) experiment, data collection ( 3 ) get computing resource( 4 ) analyze data , deduce law

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The Problem for the e-Scientist

Data ingest Managing a petabyte Common schema How to organize it? How to reorganize it? How to coexist & cooperate with

others?

Data Query and Visualization tools Support/training Performance

Execute queries in a minute Batch (big) query scheduling

Experiments &Instruments

Simulationsfacts

facts

answers

questions

?Literature

Other Archives facts

facts

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Scientific Data Life Cycle

Data Acquisition Data Ingest Metadata Annotation Provenance

Data Storage Data Cleansing Data Mining Curation Preservation

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What is a Scientific Collaboration ?

Definition: two or more people work together to create or achieve the same thing. Inter-discipline guys Teamwork Agreement Common interests Divide task into several works Discuss problems, use instruments and share information Goal: create new knowledge

The Problem is how to make this things happen? Solution: Human Cooperation + Resource Share

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Basic Collaboration Model---G.Olson

People to People Communication Groupware Service

Access to Facilities Interaction with the Physical

World Access to Instrument online

Access to Information Digital Libraries, E-Pub Search Service

The concept back from 1989

National Collaboratories ---Applying IT for Scientific Research , NAP, 1993

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Current collaboration technology Electronic communication tools send messages, files, data, or documents between people and hence facil

itate the sharing of information. e-mail faxing voice mail Web publishing

Electronic conferencing tools also facilitate the sharing of information, but in a more interactive way. data conferencing — networked PCs share a common "whiteboard" that each user can modify voice conferencing — telephones allow users to interact video conferencing (and audio conferencing) — networked PCs share video or audio signals Internet forums (also known as message boards or discussion boards) — a virtual discussion platform to facilitate an

d manage online text messages chat rooms — a virtual discussion platform to facilitate and manage real-time text messages electronic meeting systems (EMS) — a conferencing system built into a room. The special purpose room will usually c

ontain a large screen projector interlinked with numerous PCs. Collaborative management tools facilitate and manage group activities.

electronic calendars (also called time management software) — schedule events and automatically notify and remind group members

project management systems — schedule, track, and chart the steps in a project as it is being completed workflow systems — collaborative management of tasks and documents within a knowledge-based business process knowledge management systems — collect, organize, manage, and share various forms of information extranet systems (sometimes also known as 'project extranets') — collect, organize, manage and share information a

ssociated with the delivery of a project (eg: the construction of a building) social software systems — organize social relations of groups

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The Services to Enable Scientific Collaboration

3 Cyberspaces 10 Service functions

Virtual Team Team management

Task coordination (workflow)

Project management

Trust Metrics for collaboration

Resource and Interaction Online communication

Access to instrument

Semantic to scientific data

Information and Knowledge Publication and Search

Knowledge space

Experts community

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Case Study : China State Key Labs

Area of Study Labs

Chemistry 22

Math and Physics 15

Geognosy 18

Biology 38

Information 26

Material 18

Engineering 25

Users more than 10k Large instruments more than 6k

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Physical Resource and Virtual Team

people

deviceKnow how

data

SKL A

Info

people

deviceKnow how

data

SKL B

info

people

deviceKnow how

data

SKL D

Info

people

deviceKnow how

data

SKL C

Info

Virtual team C

Virtual team A

Virtual team B

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Scie

ntifi

c Colla

bora

tion

Cybersp

ace

Che

Network Infrastructure

LDAPACLAuth SSL

Task

Know How Expert

Network com

Team

Instrument Acc

Pub/Search

Project Metrics

Semantic Data

Phy Math

……

InstrumentsInstruments Data ResourceData ResourceComputingComputing Instrumen

tInstrument

Archie Archie DataData Multimedia Multimedia Raw data Raw data Physical

Network

Services

Collaboration ‘game rules’

SitesResources JointManagement

Mat EngBio Geo

……Services

Domain

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Modeling Elements

Participant

Management

Institute

Affiliate org

E-community

{ Action Des }

{ name }

Instrument

Data Storage

Behavior

According

constraint

Info flow

Capital flow

Data Flow

Communicate

Management

Collaboration cyberspace

ObjectRelationshipEntity

Behavior

Container

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Knowledge create and distribute Model

Collaboration Cyberspace

Labs

Outside labs

Buy ruleBuy rule

Agreement (1,n)(1,m)

3

Extra members

1.contribution  2.get Knowledge   3.oversee

21

1 2

(1,p)(1,q)

Members

22

ParticipantManagement Agency

Affiliate org

E-community

Instrument

Data storage

Platform

Behavior

ConstraintsInfo flowCapital flow

Data Flow

Communicate

Management

{活动描述}

{规则名称}

LegendEnsure a fair game !

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SCC Web Architecture

Benefits Adaptable

More than 10 different science subjects templates

Scalability Dynamic growing VO does not affect platform performance

ExtensibilityEasy plug in the a new service to the platform

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SCC web site http://co-lab.chinalab.gov.cn/

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SCS

user

Org.A

Org.B Org.C Org.D Org.E

Org.F

Portal model for accessing autonomic resource Benefits:

Trust access path Single sign-on Delegate permits and Proxy Interoperate

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Video and audio interactive component

Benefits1. Multi node access2. Plug in SCC3. Security and efficiency

Benefits1. Multi node access2. Plug in SCC3. Security and efficiency

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Data Structure

Attribute DB

SpaceDB

Soil Property DB Soil Carbon DBSoil Environment

DBSoil Type Graph

Soil Carbon Type Distribute

Graph

Terrain 、 Vegetation 、 Precipita

tion

Country Graph

Province Graph

County Graph

Typical Area

Graph

1:400 1:100 1:50 1:10 1:5 1:1

Soil Carbon Recycle Data Schema

Project1 : Soil Carbon recycle mechanism database

A lot of UnitsDistribute data across mainland of ChinaMore than 1K scientists

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Soil Carbon Recycle collaboration cyberspace

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Project 2 : FACE ( Free Air CO2 Enrichment )

Find out the mechanism for the rice growing when the CO2 climate change

15 Collaboration org. , 9 domestic orgs( 3SKL ), 7 oversea country, 100 research staff.

Invest 100m RMB, only one in China 30 science topics

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FACE scientists Federal Agricultural Research Centre (Germany) National Institute of Agro-Environmental Sciences (Japan) North Carolin

a State University Tohoku National Agricultural Experiment Station (Japan) U.S. Water Conservation Laboratory University of Oklahoma

大气边界层物理与大气化学国家重点实验室 ( 大气物理所 ) 作物遗传与种质创新国家重点实验室 ( 吉林农业大学南京农业大学 ) 土壤与农业可持续发展国家重点实验室 ( 南京土壤研究所 ) 上海植物生理生态研究所 沈阳农业大学 沈阳应用生态研究所 扬州大学 北京教育出版社

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Contribution to the FACE community

• Monitor the farm site by video

• Automatic upload the raw data

• Real time display control pane by Browser

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FACE Project deployment

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FACE website

New 10 service for collaboration 2 years runtime

Old Only one function Info pub

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Neutron emission facility

Remote monitor in Browser

1.Protect the staff from radiation2.Monitor the experiment process3.Inter-discipline scientists

Project3 : Neutron diffraction online experiment and data sharing

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ºË ·´ Ó¦ ¶Ñn u clear react o r

ÑùÆ·Ðýת ÒÇs am p le circu m gy rat e d ev ice

ÖÐ×ÓÊøB eam o f n eu t ro n

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Êý ¾Ý²É ¼¯

Êý ¾Ý²É ¼¯

Êý ¾Ý²É ¼¯

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ʵÑéÔËÐмà¿Ø»ú co m p u t er fo r m o n it o r exp erim en t s t at u s

ʵ Ñé ÊÒ Lab

Ô¶³Ì ¼à¿Ø·þ Îñ Æ÷M o n it o r Serv er

Éã Ïñ Í·cam era

ʵÑé ¹ý ³Ì ¼à¿Ø»ú co m p u t er fo r m o n it o r exp erim en t p ro ces s

ʵÑé¼à¿Ø´ú Àí »úm o n it o r p ro xy

In t ern et

.......

¼à¿ØʵÑéÔËÐÐm o n it o r exp erim en t s t at u s

¼à¿ØʵÑé¹ý ³Ìm o n it o r exp erim en t p ro ces s

¼à¿ØʵÑéÔËÐÐm o n it o r exp erim en t s t at u s

Benefit 1 staff are isolated from experiment site 2 remote real time monitor the process 3 scientists online discuss

Neutron reactor remote access deployment

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Data analysis software

Neutron diffraction remote control interface in Browser

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Project 4: Collaboration for BSL3 Labs (http://cl

b.gucas.ac.cn)

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BSL3 setting

办公区

生物安全柜

倒置显微镜

监控视频服务器

麦克风

控制输入

摄像机带云台的摄像头

实验室 控制及演播室

交换机

C CC

操控服务器

视频服务器

2M带宽到互联网

防火墙

针眼摄像头

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Real time monitor BSL3 Labs of FUDAN University

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Project 5: Collaboration for Experiments Centers (http://cec.gucas.ac.cn)

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800MHz 核磁共振谱仪[experiment statues

The PHI 700 Field Emission Scanning Auger NanoprobeGet data

PHI700 对应工作站

Trio MRI 磁共振脑成像系统[ 北京磁共振脑成像中心 ]

Trio MRI 配套工作站Transfer data

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Implementation

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Large scientific instruments Centers

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Instruments running statistics

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Lessons from SCC development

How to address the user’s application simpler? System development is less and less about coding

than about using things and gluing them together. Create a flexible enough architecture to allow for

changes. Customers will not be able to elucidate at the start

what they want; only by using the system will they be able to tell you what you should have done.

SSC 1.0 rely on MS SharePoint ; SSC 2.0 open source Future concerns should be e-community trust metrics.

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Acknowledge

Dec.2005--Dec.2007, China Bio-Safe Level 3 Labs Collaborative Cyberspace, Grant from MOST of China

Dec.2005--Dec.2007, China Large Scientific Instruments Collaborative Cyberspace, Grant from MOST of China

Jul.2005--Jul.2008, EU-Asia Link Programme HPC-Grid Computing Course Model, Grant from EU

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Thanks