New Generation SDI and Cyber-Infrastructure

Prof. Guoqing LiCEODE/CAS

March 29, 2009, Newport Beach, USAPresented to 4th China-US Roundtable Meeting on CODATA

Outline

Spatial Data Infrastructure Trends of New Generation SDISuggestions to US-China Cyber-

Infrastructures

Spatial Data Infrastructure

SDI Concept from WIKIPEDIA

SDI is a framework of spatial data, metadata, users and tools that are interactively connected in order to use spatial data in an efficient and flexible way

Spatial Data Acquire(spaceborne, airborne, in-situ)

Spatial Data Production

Spatial Data Infrastructure

Spatial Data Application

Understand to SDITechnical view

Huge Database/Warehouse/Repository Distribution systemMass storageHigh speed network connectionHigh performance processing

Understand to SDIData Policy view

Data formatData storage placeData access policyMetadata definition

Management viewDomain/Institute/Nation/Inter-Nation/Global levelFinancial CostTime Cost

Technical framework of SDI

Data Archive Database Metadata

Interoperation

On-demand Virtualization Cloud

Trend

Clearinghouse

Real SDI

Federal SDI

Virtual SDI

Trends of New Generation SDI

DecentralizationCentralization

Centralization had been regarded as the character of SDIData, from different places with different format, was moved to the c

entre database with transform to be uniform format

Why Decentralization?Data democracyOriginal format is always the best format to record the dataDe-centralization ≠ None-center

De-centralization ＝ Multi-center

Cyber-Technology related

High speed network

Grid, Web-service

VirtualizationClassical SDI: Center with Data

Data was always regarded as the essential component of SDILess attention to promotion of data service and professional

application scenarios Too many data center and too many application scenarios

Virtual SDI: Center without DataBasing on mass existent SDI data facilitiesFocusing on specially and professional service capability for certain

applicationCyber-Technology related

High speed network

Clearinghouse

Grid, Cloud

Portal

From Data to InformationClassical SDI just provides the data stored

The same data to check-in and check-outFormat uniform was taken only before achievedThe fact: the data stored is always not the data user needs

New Generation SDI can provide information directly to userDynamic on-demand data re-constructed (format, subset, mosaic,

preprocess, temporal sequence and etc)Information generated with installed scientific models

Cyber-Technology related

On-demand service

Real-time processing

High performance computation

Multi-AgencyClassical SDI is based on agency/institute domain

Space Agency is the main data contributor of SDISDI is reasonable and easy to be built within certain agency (for

funding, management, operation mechanism and etc)Problem: limited data centers cannot fit the requirement from more

and more application scenarios

Multi-Agency support new SDICross-agency: space agencies work together to operate the

federation SDIOut-of-agency: the-third-part partner to operate the virtual SDI for

space agencies

Cyber-Technology related

High speed network

Virtual constellation

GlobalThe fact of global change forces SDI to be the global-cover data

facilitiesA global covered SDI should be a virtual SDI to connect and re-o

rganize the existent distributed SDIs.

Cyber-Technology related

High speed network

Distribution technology

Cloud

Examples of NG-SDI

GENESI-DR (GGround EEuropean NNetwork for EEarth SScience IInteroperations - DDigital RRepositories) To collect 20PB Spatial data from European agencies within 2 years To provide lots of on-demand information products based on original arc

hived data

Examples of NG-SDI

GEOSS Portals (ESRI/ESA/COMPUSULT)

dataset dataset dataset

GEOSSRegistration

ESRIPortal

ESAPortal

CompusultPortal

dataset

Examples of NG-SDI

ECHO11 Data Providers2162 data sets67 Million granules25 Million Browse images

http://www.echo.nasa.gov/status/holdings/holdingsReport.shtml

Suggested Cooperation Opportunities

China-US Global Change scientific Data Platform (GCDP)To find related projects concentrated on similar wo

rk from both sides and help them to be the partners on GCDP

To identify the existent real SDIs can be involved from both sides

– (MODIS/FY/GDEM/Landsat Mosaic/Test-sites etc)

To develop NG-SDIs for different interest scientific communities

To guarantee the network performance and cache storage space

Historical Disaster Data Grid for Global Disaster Events (HDDG)To contribute the DCP (data collection point) for A

sia and North AmericanTo collaborate on the developing of the virtual SDI

components

HDDG will be presented at the morning session of March 29

Guoqing Li (gqli@ceode.ac.cn)