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Database Support for Data-driven Scientific Applications in the Sivaramakrishnan Narayanan, Tahsin Kurc, Umit Catalyurek, Joel Saltz
 

Summary: Database Support for Data-driven Scientific Applications in the
Grid

Sivaramakrishnan Narayanan, Tahsin Kurc, Umit Catalyurek, Joel Saltz
Dept. of Biomedical Informatics
The Ohio State University
Columbus, OH, 43210°
krishnan,kurc,umit,jsaltzĘ @bmi.ohio-state.edu
Abstract
In this paper we describe a services oriented software system to provide basic database support for
efficient execution of applications that make use of scientific datasets in the Grid. This system supports
two core operations: efficient selection of the data of interest from distributed databases and efficient
transfer of data from storage nodes to compute nodes for processing. We present its overall architecture
and main components and describe preliminary experimental results.
1 Introduction
Earlier efforts in developing the Grid infrastructure focused on support for applications that required high
computing power. In recent years, we have observed an explosion of data driven applications that require
support for distributed storage and processing. Examples include applications that synthesize and process re-
sults generated by large scale simulations, applications that generate data products from high energy physics
experiments, and applications that analyze large datasets from medical imagery. The need for distributed

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences