Accessing bio-databases with OGSA-DAI: a performance analysis

Authors:
Samatha Kottha;Kumar Abhinav;Ralph Müller-Pfefferkorn;Hartmut Mix
Affiliations:
Center for Information Services and High Performance Computing, TU Dresden, Germany;Center for Information Services and High Performance Computing, TU Dresden, Germany and Vellore Institute of Technology, India;Center for Information Services and High Performance Computing, TU Dresden, Germany;Center for Information Services and High Performance Computing, TU Dresden, Germany
Venue:
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
Year:
2007

Citing 2
Cited 2

The design and implementation of Grid database services in OGSA-DAI: Research Articles

Concurrency and Computation: Practice & Experience - Grid Performance
ZIB structure prediction pipeline: composing a complex biological workflow through web services

Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing

Grid enabling your data resources with OGSA-DAI

PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Query performance evaluation of an architecture for fine-grained integration of heterogeneous grid data sources

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Open Grid Service Architecture - Data Access and Integration (OGSA-DAI) is a middleware which aims to provide a unique interface to heterogeneous database management systems and to special type of files like SwissProt files. It could become a vital tool for data integration in life sciences since the data is produced by different sources and residing in different data management systems. With it, users will have more flexibility in accessing the data than using static interfaces of Web Services. OGSA-DAI was tested to determine in which way it could be used efficiently in a Grid application called RNAi screening. It was evaluated in accessing data from bio-databases using the queries that a potential user of RNAi screening would execute. The observations show that OGSADAI has some considerable overhead compared to a JDBC connection but provides additional features like security which in turn are very important for distributed processing in life sciences.