Abstract
A computational grid focuses on the effective sharing of computing resources instead of data resources over the grid. However, distributed or parallel scientific and engineering applications often require wide access to large amounts of data. The demands to serve data are often as important as computational resources. Therefore, our focus is on the discovery of data resources leveraging on existing computational grid management technologies. In this paper, we proposed a data resource discovery mechanism to allow the Sun Grid Engine to retrieve, index and monitor the metadata from Oracle 10g. In the implementation, we analyze the organization of metadata information in Oracle 10g – Oracle’s data grid solution, and the resource discovery mechanism in Sun Grid Engine, one of the widely used computational grid middleware. The proposed mechanism provides a unique method to share data resources in the same way as computational resources. This allows the computational grid to be better integrated with the data grid.
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References
Oracle 10g data grid, http://otn.oracle.com/tech/grid/index.html
Sun Grid Engine, http://gridengine.sunsource.net/
Globus Toolkit, http://www-unix.globus.org/toolkit/
SGE Admin user Guide, http://gridengine.sunsource.net/project/gridenginedownload/SGE53AdminUserDoc.pdf?content-type=application/pdf
SGE Load sensor architecture, http://gridengine.sunsource.net/project/gridengine/howto/loadsensor.html
SGE Qmaster service, http://gridengine.sunsource.net/source/browse/gridengine/source/daemons/qmaster/qmaster.html?rev=1&content-type=text/html
SGE Execution daemon Services, http://gridengine.sunsource.net/unbrandedsource/browse/%7Echeckout%7E/gridengine/source/daemons/execd/execd.html?contenttype=text/html
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© 2004 Springer-Verlag Berlin Heidelberg
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Jayasena, S., Yee, CP., Song, J., Stoelwinder, A., See, C.W., Wong, WH. (2004). Data Resource Discovery in a Computational Grid. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004 Workshops. GCC 2004. Lecture Notes in Computer Science, vol 3252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30207-0_38
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DOI: https://doi.org/10.1007/978-3-540-30207-0_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23578-1
Online ISBN: 978-3-540-30207-0
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