Distributed processing of very large datasets with DataCutter
| Title | Distributed processing of very large datasets with DataCutter |
| Publication Type | Journal Articles |
| Year of Publication | 2001 |
| Authors | Beynon MD, Kurc T, Catalyurek U, Chang C, Sussman A, Saltz J |
| Journal | Parallel Computing |
| Volume | 27 |
| Issue | 11 |
| Pagination | 1457 - 1478 |
| Date Published | 2001/10// |
| ISBN Number | 0167-8191 |
| Keywords | Component architectures, Data analysis, Distributed computing, Multi-dimensional datasets, Runtime systems |
| 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. |
| URL | http://www.sciencedirect.com/science/article/pii/S0167819101000990 |
| DOI | 10.1016/S0167-8191(01)00099-0 |