November 27 2007

Geoffrey FoxCommunity Grids Lab

Indiana University

Net-Centric Sensor Grids

Data Centric EnterprisesDistributed Science or eScience is modern research

methodology linking electronically scientists, computers and data (instruments and sensors) Uses Grid technology that is similar to that used for Web 2.0

systems like Flickr, YouTubeWe use Cloud Computing from Amazon and soon IBM and

GoogleGoogle maps extensively used

DoD Anything Anywhere Anytime vision requires similar technologies needs similar distributed software systems for Command and ControlRequirements documented in Air Force FLTC (for example)Approach defined by DoD Net Centric architecture Implemented on Global Information Grid

Corporate Enterprise software uses service oriented architecture with similar requirements and goals

The TeamIndiana University Information Technology

Translational Institutes (IT)2 has three instituteseScience (led by Community Grids Laboratory CGL)Data SystemsSecurity

POLIS at IUPUI works on GIS with StateAnabas is a small company that has won three

SBIR/STTR small business awards with DoD and DoE in collaboration with CGL

Ball Aerospace in Ohio provides DoD application expertise allowing Indiana University to focus on core (dual use) technology and civilian applications

Bill McQuay in sensor directorate of AFRL at WPAFB is current Anabas Phase II SBIR program monitor

Several civilian application partners

Project Goal and DeliverablesDeliver a library of Grid Software modules supporting

distributed data intensive systems forNet Centric DoD Command and Control ApplicationsAnd related civilian applicationsEarthquake and Weather Prediction and Emergency

Response GridsPolarGrid deploying Polar sensors and distributed analysis

of melting of ice sheetsNavajo Nation Grid supporting education and healthcare in

remote rural areasPhysics data analysis from accelerator in GenevaCivilian applications leverage federal funding. Initial DoD

work funded by SBIR Phase II involving Anabas, CGL and Ball Aerospace

This project will enhance civilian technology/applications and deliver DoD modules

Slide courtesy of Dr. Yehuda Bock: http://sopac.ucsd.edu/input/realtime/CRTN_NGGPSUG.ppt

GPS Sensors and their Grid Analysis

Station Monitor Filter records real-time positions for 10 minutes and calculates position changes

Graph Plotter Application creates visual representation of the positions.

RDAHMM Filter records real-time positions for 10 minutes and invokes RDAHMM application which determines state changes in the XYZ signal.

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RDAHMM: GPS Time Series Segmentation

Complex data with subtle signals is difficult for humans to analyze, leading to gaps in analysis

HMM segmentation provides an automatic way to focus attention on the most interesting parts of the time

GPS displacement (3D) length two years.

Divided automaticallyby HMM into 7 classes.

Features:• Dip due to aquifer

drainage (days 120-250)

• Hector Mine earthquake (day 626)

• Noisy period at end of time series

Grid Workflow Data Assimilation in Earth Science Grid services triggered by abnormal events and controlled by workflow process real

time data from radar and high resolution simulations for tornado forecasts

DoD Grid Management Center

RFID Sensors being added

Navajo Nation Wireless Grid

Internet to Hogan dedicated January 29 2007 at Navajo Technical College Crownpoint NM

Data Analysis of Large Hadron Collider

Database

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MetaDataFilter Service

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Raw Data Data Information Knowledge Wisdom

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Inter-Service Messages