XML database support for distributed execution of data-intensive scientific workflows

Shannon Hastings; Matheus Ribeiro; Stephen Langella; Scott Oster; Uimit Catalyurek; Tony Pan; Kun Huang; Renato Ferreira; Joel Saltz; Tahsin Kurc

doi:10.1145/1084805.1084815

XML database support for distributed execution of data-intensive scientific workflows

Shannon Hastings
, Matheus Ribeiro
, Stephen Langella
, Scott Oster
, Uimit Catalyurek
, Tony Pan
, Kun Huang
, Renato Ferreira
, Joel Saltz
, Tahsin Kurc

Biomedical Informatics

Ohio State University
Universidade Federal de Minas Gerais

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In this paper we look at the application of XML data management support in scientific data analysis workflows. We describe a software infrastructure that aims to address issues associated with metadata management, data storage and management, and execution of data analysis workflows on distributed storage and compute platforms. This system couples a distributed filter-stream based dataflow engine with a distributed XML-based data and metadata management system. We present experimental results from a biomedical image analysis use case that involves processing of digitized microscopy images for feature segmentation.

Original language	English
Pages (from-to)	50-56
Number of pages	7
Journal	SIGMOD Record
Volume	34
Issue number	3
DOIs	https://doi.org/10.1145/1084805.1084815
State	Published - Sep 2005

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10.1145/1084805.1084815

Cite this

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AU - Pan, Tony

AU - Huang, Kun

AU - Ferreira, Renato

AU - Saltz, Joel

AU - Kurc, Tahsin

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XML database support for distributed execution of data-intensive scientific workflows

Abstract

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