Storming Media: Pentagon Reports and DocumentsPentagon Reports: Fast. Definitive. Complete.     
New Account »
Forgot Password?
Advanced Search »

ComputersComputer Hardware

Scalable Knowledge Discovery Through Grid Workflows

Authors: Yolanda Gil; Jihie Kim; Ewa Deelman; Paul Groth; Gaurang Mehta; Varun Ratnakar; Karan Vahi; UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
 
Abstract: The goal of this effort was to drastically reduce the human effort required to configure and execute new workflows for data analysis from weeks to minutes by eliminating the need for costly human monitoring and intervention. This involves developing end-to-end data analysis systems to analyze data from many different sources and with many different algorithms and analytical tools. Their approach combined three central ideas: 1) workflows with rich representations of algorithmic requirements and data products, 2) semantic representations to enable automatic generation of complex workflows, and 3) grid computing to manage the high performance of many workflows in distributed cross-organization environments.

Limitations: APPROVED FOR PUBLIC RELEASE
Description: Final technical rept. Sep 2006-Mar 2009
Pages: 102
Report Date: Apr-2009
Contract Number: FA8750-06-C-0210 FA875006C0210
Report Number: A683894
Keywords relating to this report:
*HUMANS
*MARKUP LANGUAGES
ALGORITHMS
APPLICATION PROGRAMMING INTERFACE
AUTOMATIC
DEMONSTRATIONS
GRAPHS
MIDDLEWARE
MONITORING
ONTOLOGY
REQUIREMENTS
SEMANTICS
SOFTWARE ENGINEERING
TEMPLATES
Adobe PDF - $25.95
Printed Format - $28.95
Please check the box for the format you wish to order.
Shipping Terms
About Electronic Delivery

Email This Abstract