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The Preliminary Design of Papyrus: A System for High Performance, Distributed Data Mining over Clusters, Meta-Clusters and Super-Clusters (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Grossman, Robert Bailey, Stuart Ramu, Ashok Malhi, Balinder Turinsky, Andrei |
| Description | Data mining is a problem for which cluster computing provides a competitive alternative to specialized high performance computers for mining large data sets. Distribued clusters provide a natural infrastructure for mining large distributed data sets. Distributed clusters can be connected by commodity networks to form what we call meta-clusters and by high performance networks to form what we call super-clusters. In this paper, we describe the design of a system called Papyrus which is designed for mining data which is distributed over clusters, meta-clusters, and super-clusters. We also describe some experimental results of a preliminary implementation. |
| File Format | |
| Language | English |
| Publisher Date | 1999-01-01 |
| Publisher Institution | In Proceedings of Workshop on Distributed Data Mining, alongwith KDD98 |
| Access Restriction | Open |
| Subject Keyword | Preliminary Design Specialized High Performance Computer Data Set Data Mining Commodity Network High Performance High Performance Network Preliminary Implementation Natural Infrastructure Competitive Alternative Large Data Set Experimental Result Mining Data Distributed Data Mining |
| Content Type | Text |
| Resource Type | Article |
