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2003
ACM
13 years 10 months ago
Job Superscheduler Architecture and Performance in Computational Grid Environments
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
Hongzhang Shan, Leonid Oliker, Rupak Biswas
GRID
2008
Springer
13 years 4 months ago
Scheduling for Responsive Grids
Grids are facing the challenge of seamless integration of the grid power into everyday use. One critical component for this integration is responsiveness, the capacity to support o...
Cécile Germain-Renaud, Charles Loomis, Jaku...
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Voted
FGCS
2007
160views more  FGCS 2007»
13 years 4 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
HPDC
2000
IEEE
13 years 9 months ago
A Monitoring Sensor Management System for Grid Environments
Large distributed systems such as Computational Grids require a large amount of monitoring data be collected for a variety of tasks such as fault detection, performance analysis, ...
Brian Tierney, Brian Crowley, Dan Gunter, Mason Ho...
IPPS
2003
IEEE
13 years 10 months ago
Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling
With the emergence of grid computing environment, performance measurement, analysis and prediction of non-dedicated distributed systems have become increasingly important. In this...
Xian-He Sun, Ming Wu