Abstract
Researchers in the physical sciences continue to generate increasing
amounts of data from simulations, sensors, and cataloging efforts such as DNA
mappings and climate records. This increase in data has led to the need for
need for new data management tools that assist researchers in managing the
volume of data entailed as well as distributing the data across disk volumes
and administrative domains. Distributing the data facilitates greater collab-
oration between scientists and maximizes the data s value. These new data
management requirements have led to the development of numerous data
management systems. Two such systems are the Proactive Data Management System
(PDMS) [4] and BioSimGrid [3]. BioSimGrid is a Data Grid project designed to
distribute bio-molecular simulation results. PDMS is a data management tool
developed by the University of Calgary Grid Research Centre (GRC) that
facilitates management and movement of data using metadata rather than
physical file locations. The proliferation of different data management
systems leads to the need for an extensible framework that facilitates the
integration of multiple data sources. OGSA-DAI [2] was designed to meet this
goal. This document discusses the integration of services provided by PDMS or
BioSimGrid with other data facilities such as databases using OGSA-DAI. The
rest of this document is structured as follows. Sections 2 and 3 provide an
overview of BioSimGrid and PDMS respectively. Section 4 discusses the
architecture and limitations of the OGSA-DAI framework. The integration of
BioSimGrid and PDMS are discussed in sections 5 and 6. Section 8 summarizes
the document.
Notes
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