Sources of Incompleteness in Grid Publishing
There is a wide variety of data, both static and streaming, being published on and about computing Grids. However one aspect of Grid data that has received relatively little attention thus far is that of incompleteness. With potentially many data sources available to choose from, each with its own limitations in terms of coverage of data sets and of overall reliability, there are many opportunities for inaccuracy due to incompleteness in the data. In this short paper different types of incompleteness are identified in the context of R-GMA as part of an ongoing research project aimed at finding solutions to some of these.
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- 1.SuperCOSMOS Science Archive (SSA), http://surveys.roe.ac.uk/ssa/
- 4.Stegmaier, B., Kuntschke, R., Kemper, A.: StreamGlobe: Adaptive query processing and optimization in streaming P2P environments. In: Proc. DMSN, pp. 88–97 (August 2004)Google Scholar
- 5.Linked Environments for Atmospheric Discovery, http://lead.ou.edu/
- 6.Lenzerini, M.: Data integration: A theoretical perspective. In: Proc. PODS, Madison (WI, USA), pp. 233–246 (June 2002)Google Scholar
- 8.Grahne, G., Kiricenko, V.: Partial answers in information integration systems. In: Proc. WIDM, New Orleans (LA, USA), pp. 98–101 (November 2003)Google Scholar
- 10.Vijayakumar, N., Liu, Y., Plale, B.: Calder: Enabling Grid access to data streams. In: Proc. HPDC, Raleigh (NC, USA), pp. 283–284 (July 2005)Google Scholar