Prototype a Knowledge Discovery Infrastructure by Implementing Relational Grid Monitoring Architecture (R-GMA) on European Data Grid (EDG)

Frank Wang, Na Helian, Yike Guo, Steve Thompson, John Gordon

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper describes the implementation of a ScanOnce algorithm in SQL for quick association rule mining and the development of a data mining infrastructure JetGrid. The architecture of JetGrid is designed to be compatible with lower-level grid mechanisms since it is to operate on top of Relational Grid Monitoring Architecture (R-GMA) provided by European Data Grid (EDG). JetGrid for quick knowledge discovery was preliminarily prototyped and it is extensible, using an object-oriented design that was coded in C++. Mining agents will be staged to one or more computing elements on the EDG. They will mine data delivered using GridFTP and/or Globus transport mechanism. Some initial experimental results are presented, which provide some indication of the performance of the JetGrid data mining infrastructure on top of EDG.
Original languageEnglish
Pages811-814
DOIs
Publication statusPublished - 7 Dec 2003
EventInternational Conference on Grid and Cooperative Computing, GCC2003 - Shanghai, China
Duration: 7 Dec 200310 Dec 2003
https://link.springer.com/book/10.1007/b97163

Conference

ConferenceInternational Conference on Grid and Cooperative Computing, GCC2003
Country/TerritoryChina
CityShanghai
Period7/12/0310/12/03
Internet address

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