@article {17882,
	title = {Distributed processing of very large datasets with DataCutter},
	journal = {Parallel Computing},
	volume = {27},
	year = {2001},
	month = {2001/10//},
	pages = {1457 - 1478},
	abstract = {We describe a framework, called DataCutter, that is designed to provide support for subsetting and processing of datasets in a distributed and heterogeneous environment. We illustrate the use of DataCutter with several data-intensive applications from diverse fields, and present experimental results.},
	keywords = {Component architectures, Data analysis, Distributed computing, Multi-dimensional datasets, Runtime systems},
	isbn = {0167-8191},
	doi = {10.1016/S0167-8191(01)00099-0},
	url = {http://www.sciencedirect.com/science/article/pii/S0167819101000990},
	author = {Beynon,Michael D. and Kurc,Tahsin and Catalyurek,Umit and Chang,Chialin and Sussman, Alan and Saltz,Joel}
}
