November Geoffrey Fox Community Grids Lab Indiana University Net-Centric Sensor Grids

Data Centric Enterprises Distributed 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, YouTube We use Cloud Computing from Amazon and soon IBM and Google Google maps extensively used DoD Anything Anywhere Anytime vision requires similar technologies needs similar distributed software systems for Command and Control Requirements 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 Team Indiana University Information Technology Translational Institutes (IT) 2 has three institutes eScience (led by Community Grids Laboratory CGL) Data Systems Security POLIS at IUPUI works on GIS with State Anabas 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 Deliverables Deliver a library of Grid Software modules supporting distributed data intensive systems for Net Centric DoD Command and Control Applications And related civilian applications Earthquake and Weather Prediction and Emergency Response Grids PolarGrid deploying Polar sensors and distributed analysis of melting of ice sheets Navajo Nation Grid supporting education and healthcare in remote rural areas Physics data analysis from accelerator in Geneva Civilian 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:

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. 8

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 automatically by HMM into 7 classes. Features: Dip due to aquifer drainage (days ) 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 at Navajo Technical College Crownpoint NM

Data Analysis of Large Hadron Collider

Database SS SSSSSSSSS FS FSFS Portal FSFS OSOS OSOS OSOS OSOS OSOS OSOS OSOS OSOS OSOS OSOS OSOS OSOS MD MetaData Filter Service Sensor Service Other Service Another Grid Raw Data  Data  Information  Knowledge  Wisdom Decisions S S Another Service S Another Grid S SS FS Inter-Service Messages