SBIR-STTR Award

Cluster-Based Repositories and Analysis
Award last edited on: 2/23/2007

Sponsored Program
SBIR
Awarding Agency
DOD : DARPA
Total Award Amount
$877,330
Award Phase
2
Solicitation Topic Code
SB031-008
Principal Investigator
Peter S Lucas

Company Information

Maya Design Group Inc

2730 Sidney Street Building 2 Suite 300
Pittsburgh, PA 15203
   (412) 488-2900
   maya@maya.com
   www.maya.com
Location: Single
Congr. District: 18
County: Allegheny

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2003
Phase I Amount
$140,965
We propose to build an Open Analytical Framework to support collaborative, distributed data collection and analysis.The Open Analytical Framework will be an inexpensive, distributed data mining and analysis platform. It emphasizes collaboration through information liquidity and performance through massive scale and parallelization. It is composed of a large distributed ensemble of cooperating data storage nodes (repositories) and applications layered on the resulting uniform data space.We will address the problems of information object identity, schema definition, distributed indexing and query, caching and consistency, change notification, and intermittently connected (e.g., mobile) applications. Our proposed solutions revolve around the use of simple layered data representations (u-forms) and agents to manage the data (shepherds). Our goal is to facilitate the routine sharing of information and analytical insight across cooperating (but independent) organizations to support, for instance, law enforcement operations. We expect the resulting technology to have numerous government and commercial applications

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2004
Phase II Amount
$736,365
We propose to build an Open Analytical Framework using a technology called Cluster Based Repositories to support collaborative, distributed data collection and analysis. The Open Analytical Framework will be an inexpensive, distributed information analysis platform. It emphasizes collaboration through information liquidity and performance through massive scale and parallelization. It is composed of a large distributed ensemble of cooperating data storage nodes (repositories) and applications layered on the resulting uniform data space. We will address the problems of information object identity, schema definition, distributed indexing and query, caching and consistency, change notification, and intermittently connected (e.g., mobile) applications. Our proposed solutions revolve around the use of simple layered data representations (u-forms) and agents to manage the data (shepherds).

Keywords:
DISTRIBUTED DATABASES, DISTRIBUTED COMPUTING, PERVASIVE COMPUTING, MOBILE COMPUTING, DATA MINING, CSCW (COMPUTER SUPPORTED COLLABORATIVE WORK), INFORM