Paper Info
Title
Experience with BXGrid: a data repository and computing grid for biometrics research
Abstract
Research in the field of biometrics depends on the effective management and analysis of many terabytes of digital data. The quality of an experimental result is often highly dependent upon the sheer amount of data marshalled to support it. However, the current state of the art requires researchers to have a heroic level of expertise in systems software to perform large scale experiments. To address this, we have designed and implemented BXGrid, a data repository and workflow abstraction for biometrics research. The system is composed of a relational database, an active storage cluster, and a campus computing grid. End users interact with the system through a high level abstraction of four stages: Select, Transform, AllPairs, and Analyze. A high degree of availability and reliability is achieved through transparent fail over, three phase operations, and independent auditing. BXGrid is currently in daily production use by an active biometrics research group at the University of Notre Dame. We discuss our experience in constructing and using the system and offer lessons learned in conducting collaborative research in e-Science.
Year
DOI
Venue
2009
10.1007/s10586-009-0098-7
Cluster Computing
Keywords
DocType
Volume
high degree,digital data,active biometrics research group,computing grid,e-science · grid computing · biometrics · abstractions,workflow abstraction,data repository,heroic level,biometrics research,active storage cluster,high level abstraction,collaborative research,abstractions,grid computing,relational database,biometrics
Journal
12
Issue
ISSN
Citations 
4
1386-7857
11
PageRank 
References 
Authors
0.67
14
7
Name
Order
Citations
PageRank
Hoang Bui111810.45
Michael Kelly2111.01
Christopher Lyon3111.01
Mark Pasquier4110.67
Deborah Thomas5110.67
Patrick J. Flynn64405307.04
Douglas Thain71530127.00