An Analysis of the Performance Bottlenecks in the Federated Search Information Flow

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-09ER85327
Agency Tracking Number: 91585
Amount: $749,245.00
Phase: Phase II
Program: SBIR
Awards Year: 2010
Solicitation Year: 2010
Solicitation Topic Code: 64 a
Solicitation Number: DE-FOA-0000350
Small Business Information
Deep Web Technologies, Llc
301 North Guadalupe, Suite 201, Santa Fe, NM, 87501
DUNS: 383643843
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Abe Lederman
 Dr.
 (505) 820-0301
 abe@deepwebtech.com
Business Contact
 Abe Lederman
Title: Dr.
Phone: (505) 820-0301
Email: abe@deepwebtech.com
Research Institution
N/A
Abstract
Performance bottlenecks in federated search limit the benefits of the technology to DOE researchers, to other scientists and to the public. We will assess the performance bottlenecks of Deep Web Technologies' federated search technology in Phase I and make performance improvements in Phase II. We performed a rigorous assessment of the information flow in our federated search technology. We identified a number of bottlenecks and assessed the impact of each to prioritize the performance improvement work. We also prototyped technology to improve certain performance bottlenecks. We will design and implement a number of technologies to remove major bottlenecks. The technologies will improve the speed of data access and storage, networking, web access, computation, and connector work. Commercial Applications and Other Benefits: The future of federated search lies in the ability to cast a wide net over an ever-increasing body of scientific information. It will become more feasible to build large-scale federated search applications for the federal government that simultaneously search thousands of sources.

* information listed above is at the time of submission.

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