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Ideas onWeb Services Technology Infusion ‘Roadmap’
rhusar&me.wustl.edu
July 2005
Web Services have Well defined interfaces, necessary for
Lose coupling of components, which allows Agile and ‘just-in-time’ application-building and
Communal development
ESE Strategy 2003
Societal Strategy
Info-Science Strategy
Building things together
(Tim Berners Lee)
Tech Strategy
Development Goals
Tech PlanConcepts (ESIP - )
Context – why
Elements are needed
Use Technologies
Real Apps
DRY
DRY
DRY
WARM
VERY WET
WET
WET
WET
VERYDRY
COLD
COLD
Petabytes 1015
Terabytes 1012
Gigabytes 109Megabytes 106
Calibration, Transformation To Characterized Geophysical Parameters Interaction Between
Modeling/Forecasting and Observation Systems
InteractiveDissemination
Multi-platform, multi-parameter, high spatial and temporal resolution, remote
& in-situ sensing
Advanced Sensors Data Processing & Analysis Information Synthesis Access to Knowledge
Extending Science & Technology to Society
Predictions
New Information System Capabilities:The Top Ten
Interactive Data Analysis
Interoperable Information
Services
Seamless Data Access
Assisted Data & Service Discovery
Assisted Knowledge
Building
Community Modeling
Frameworks
Responsive Information
Delivery
Verifiable Information
Quality
Evolvable Technical Infrastructure
Scalable Analysis Portals
Dimensions of Interoperability & Integration
Enterprise
Object
Data
System
Application
Component
0% 100%
6 Levels o
f Inte
ropera
bility
3 Kinds of Integration
Interoperability Scale
Our interest lies here
Community
Structural == Dimensional?
Info Science & Engineering Design Data Flow & Processing Value Chains & Networks
Monitor StoreData 1
Monitor StoreData 2
Monitor StoreData n
Monitor StoreData m
IntDa
ta1
IntData
n
IntData
2
Virtual Int. Data
Earth Science Web Services
Evolution Community Modeling
Data & procedures into services
Interoperability: syntactic, structural, semantic
Web Services & SOA evolution on the Web: Standards & Applications
Configurable analysis tools
Forecasting
Outline
• ES Information Environment– Data Providers, Users, Info System
• ES Computing Models– Value Chains, Value Shops and Value Networks
• WS Definition & Features– Lose coupling, SOA, Standards-based
• WS – Current State– Where are we now (general, cases)
• WS - Desired State– Where do we want to be (NASA vision, Infusion vision)
• WS – Path from Current-to-Desired State– Road map
WS-Technology Infusion Strategies
• Evolutionary– Translation of some legacy software components to WS– Oscar &
• Transformation– Full substitution of legacy systems with distributed WS– DataFed, WorldBrain
• Visionary– Introduction of new approaches and technologie– SciFlo
WS-Technology Infusion FacilitationFind, Bind, Do
• Registries– Data, services
• Interoperability Standards– Raise the Interoperability Stack
• Interoperability Cases-Projects– Ad hoc, NASA Incentives
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