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Chipotle: A Peer-to-Peer System for Highly Distributed and Fault Tolerant XML Data Management

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-07-C-7604
Agency Tracking Number: 053-0173
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: MDA05-053
Solicitation Number: 2005.3
Timeline
Solicitation Year: 2005
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-07-11
Award End Date (Contract End Date): 2009-07-11
Small Business Information
33 Thornwood Drive, Suite 500
Ithaca, NY 14850
United States
DUNS: 101321479
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Matthew Stillerman
 Senior Principal Scientis
 (607) 257-1975
 matt@atc-nycorp.com
Business Contact
 Richard Smith
Title: Controller
Phone: (607) 257-1975
Email: rick@atc-nycorp.com
Research Institution
N/A
Abstract

ATC-NY, and collaborators from Cornell University, the US Naval Academy, and Architecture Technology Corporation, will design and build Chipotle, a distributed XML database targeting the needs of the MDA, other DoD operations, and organizations providing emergency services. The Chipotle system will be highly resistant to failures, require no centralized control (and thus present no central point of attack), and be highly robust in the face of component and network failure. Scalability and fault tolerance are provided by structuring the database system as a peer-to-peer (P2P) system. Building on previous work at ATC-NY and Cornell, Chipotle improves on existing P2P systems by supporting rich database queries, including XML XPath expressions, and by providing the security needed to enforce access policies and prevent the disclosure of information. In addition, Chipotle will provide load balancing capabilities to handle varying query loads as well as heterogeneous nodes and networks. Initial work on Chipotle, in Phase I, constructed an early prototype and completed additional design work. The effort proposed here will result in a full-featured prototype of Chipotle and demonstrate its scalability, performance, and robustjess. This effort includes tasks that will set the stage for transition to real deployments.

* Information listed above is at the time of submission. *

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