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» DDDAS ITR: A Data Mining and Exploration Middleware for Grid...
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HPDC
2008
IEEE
14 years 11 hour ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
RSFDGRC
2005
Springer
151views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
DIXER - Distributed Executor for Rough Set Exploration System
We present the Distributed Executor for RSES (DIXER) which is a supplementary software for the Rough Set Exploration System (RSES). It takes an advantage of grid computing paradigm...
Jan G. Bazan, Rafal Latkowski, Marcin S. Szczuka
CCGRID
2009
IEEE
14 years 9 days ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...
EUMAS
2006
13 years 7 months ago
A Customizable Multi-Agent System for Distributed Data Mining
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Giancarlo Fortino, Giuseppe Di Fatta
PDCAT
2004
Springer
13 years 11 months ago
A Componentized Approach to Grid Enabling Seismic Wave Modeling Application
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...