@conference {17838,
	title = {Efficient Manipulation of Large Datasets on Heterogeneous Storage Systems},
	booktitle = {Parallel and Distributed Processing Symposium, International},
	volume = {2},
	year = {2002},
	month = {2002///},
	pages = {0084 - 0084},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Los Alamitos, CA, USA},
	abstract = {In this paper we are concerned with the efficient use of a collection of disk-based storage systems and computing platforms in a heterogeneous setting for retrieving and processing large scientific datasets. We demonstrate, in the context of a data-intensive visualization application, how heterogeneity affects performance and show a set of optimization techniques that can be used to improve performance in a component-based framework. In particular, we examine the application of parallelism via transparent copies of application components in the pipelined processing of data.},
	keywords = {component-based frameworks, data-intensive computing, load balancing},
	isbn = {0-7695-1573-8},
	doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2002.1015655},
	author = {Beynon,Michael D. and Sussman, Alan and Kurc,Tahsin and Catalyurek,Umit and Saltz,Joel}
}
