1. Cyberinfrastructure for Coastal Forecasting and Change Analysis
Gagan Agrawal
Hakan Ferhatosmanoglu
Xutong Niu
Ron Li
Keith Bedford

2. Coastal Forecasting and Change Detection (Lake Erie)
Lake Erie Coastal Erosion Analysis:
OSU Geodetic Science and ODNR
GLOS: Collaboration between
OSU Civil and NOAA

3. Proposed Infrastructure and Collaboration

4. Project Premise and Challenges
Limitation of Current Environmental Observation Systems
Tightly coupled systems
No reuse of algorithms
Very hard to experiment with new algorithms
Closely tied to existing resources
Our claim
Emerging trends towards web-services and grid-services can help
Challenges
Existing Grid Middleware Systems have not considered streaming data or data integration issues
Enabling algorithms (data mining, query planning, data fusion) need to be implemented as grid/web-services

5. Middleware Developed at Ohio State
Automatic Data Virtualization Framework
Enabling processing and integration of data in low-level formats
GATES (Grid-based AdapTive Execution on Streams)
Processing of distributed data streams
FREERIDE-G (FRamework for Rapid Implementation of Datamining Engines in Grid)
Supporting scalable data analysis on remote data

6. Application Details: Coastal Erosion Prediction and Analysis
Focus: Erosion along Lake
Erie Shore
Serious problem
Substantial Economic Losses
Prediction requires data from
Variety of Satellites
In-situ sensors
Historical Records
Challenges
Analyzing distributed data
Data Integration/Fusion
Long Term Goal : Create Service-oriented implementation
Design a WSDL to describe available data
Describe available tools and services
Support discovery and composition of datasets and services for a given query

7. Application Details: Great Lakes Now/ForeCasting
GLOS: Great Lakes Observing System
Co-designer/project manager: K. Bedford, a co-PI on this project
Collaboration with NOAA
Limitations: Hard-wired
Cannot incorporate new streams or algorithms
Create a Demand-driven Implementation using GATES
Event of Interest
A boat accident, oil leakage
Need to run a new model
Time Constraints
Find grid resources on the fly
Need to decide:
Spatial and Temporal Granularity
Parameters to Model