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HPDC
2008
IEEE
15 years 8 months 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
HPDC
2000
IEEE
15 years 6 months ago
Flexible High-Performance Access to Distributed Storage Resources
We describe a software architecture for storage services in computational grid environments. Based upon a lightweight message-passing paradigm, the architecture enables the provis...
Craig J. Patten, Kenneth A. Hawick
LSSC
2005
Springer
15 years 7 months ago
Ant Algorithm for Grid Scheduling Problem
Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Stefka Fidanova, Mariya K. Durchova
105
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CCGRID
2002
IEEE
15 years 6 months ago
On Advantages of Grid Computing for Parallel Job Scheduling
This paper addresses the potential benefit of sharing jobs between independent sites in a grid computing environment. Also the aspect of parallel multi-site job execution on diff...
Carsten Ernemann, Volker Hamscher, Uwe Schwiegelsh...
IPPS
1999
IEEE
15 years 6 months ago
An Object-Oriented Environment for Sparse Parallel Computation on Adaptive Grids
Many numerical solutions of large scale simulation models require finer discretizations in some regions of the computational grid. When this region is not known in advance, adapti...
Salvatore Filippone, Michele Colajanni, Dario Pasc...