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A distributed data management middleware for data-driven application systems

  • Ohio State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a distributed storage middleware, based on a data and metadata management framework, to address this problem. In this middleware system, applications define the structure of their input and output data using XML schemas. The system provides support for 1) registration, versioning, management of schemas, and 2) management of storage, querying, and retrieval of instance data corresponding to the schemas in distributed databases. We carry out an experimental evaluation of the system on a set of PC clusters connected over wide- and local-area networks.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Cluster Computing, ICCC 2004
Pages267-276
Number of pages10
DOIs
StatePublished - 2004
Event2004 IEEE International Conference on Cluster Computing, ICCC 2004 - San Diego, CA, United States
Duration: Sep 20 2004Sep 23 2004

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Conference

Conference2004 IEEE International Conference on Cluster Computing, ICCC 2004
Country/TerritoryUnited States
CitySan Diego, CA
Period09/20/0409/23/04

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