The Global Grid and Distributed Data Mining
This paper reports a UK Economic and Social Research Council project that is exploring the use of Grid technologies to manage distributed data and act as a secure infrastructure for the delivery of computing power to distributed teams. The application focus used to test this infrastructure is the an...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
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International Society for Productivity Enhancement
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/38162 |
| _version_ | 1848755245614628864 |
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| author | Lloyd, Ashley Sun, Yuchao Sloan, T. Hume, A. Carter, C. |
| author_facet | Lloyd, Ashley Sun, Yuchao Sloan, T. Hume, A. Carter, C. |
| author_sort | Lloyd, Ashley |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper reports a UK Economic and Social Research Council project that is exploring the use of Grid technologies to manage distributed data and act as a secure infrastructure for the delivery of computing power to distributed teams. The application focus used to test this infrastructure is the analysis of distributed data resources and their use as a source of competitive advantage. This requires the Grid infrastructure to support teams that draw on expertise, data and compute resources in the UK, Australia and China. Early results highlight a number of issues that require further attention if the Grid is to become a pervasive global infrastructure for business. Barriers to adoption include chronic and justifiable concerns over security, however application of existing Grid technologies, such as OGSA-DAI, will also require a shift in the development focus from synchronous data transfers to asynchronous if a robust and efficient infrastructure is to result. |
| first_indexed | 2025-11-14T08:53:15Z |
| format | Conference Paper |
| id | curtin-20.500.11937-38162 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:53:15Z |
| publishDate | 2005 |
| publisher | International Society for Productivity Enhancement |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-381622017-02-27T15:15:03Z The Global Grid and Distributed Data Mining Lloyd, Ashley Sun, Yuchao Sloan, T. Hume, A. Carter, C. data mining grid computing This paper reports a UK Economic and Social Research Council project that is exploring the use of Grid technologies to manage distributed data and act as a secure infrastructure for the delivery of computing power to distributed teams. The application focus used to test this infrastructure is the analysis of distributed data resources and their use as a source of competitive advantage. This requires the Grid infrastructure to support teams that draw on expertise, data and compute resources in the UK, Australia and China. Early results highlight a number of issues that require further attention if the Grid is to become a pervasive global infrastructure for business. Barriers to adoption include chronic and justifiable concerns over security, however application of existing Grid technologies, such as OGSA-DAI, will also require a shift in the development focus from synchronous data transfers to asynchronous if a robust and efficient infrastructure is to result. 2005 Conference Paper http://hdl.handle.net/20.500.11937/38162 International Society for Productivity Enhancement restricted |
| spellingShingle | data mining grid computing Lloyd, Ashley Sun, Yuchao Sloan, T. Hume, A. Carter, C. The Global Grid and Distributed Data Mining |
| title | The Global Grid and Distributed Data Mining |
| title_full | The Global Grid and Distributed Data Mining |
| title_fullStr | The Global Grid and Distributed Data Mining |
| title_full_unstemmed | The Global Grid and Distributed Data Mining |
| title_short | The Global Grid and Distributed Data Mining |
| title_sort | global grid and distributed data mining |
| topic | data mining grid computing |
| url | http://hdl.handle.net/20.500.11937/38162 |