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CCGRID
2008
IEEE
14 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
ICAC
2007
IEEE
14 years 1 months ago
Time-Sharing Parallel Applications with Performance Isolation and Control
Most parallel machines, such as clusters, are spaceshared in order to isolate batch parallel applications from each other and optimize their performance. However, this leads to lo...
Bin Lin, Ananth I. Sundararaj, Peter A. Dinda
SAINT
2007
IEEE
14 years 1 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
IPPS
2003
IEEE
14 years 7 hour ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
CLUSTER
2004
IEEE
13 years 10 months ago
A client-centric grid knowledgebase
Grid computing brings with it additional complexities and unexpected failures. Just keeping track of our jobs traversing different grid resources before completion can at times be...
George Kola, Tevfik Kosar, Miron Livny