259 search results - page 23 / 52 » A GA(TS) Hybrid Algorithm for Scheduling in Computational Gr... |
GRID
2006
Springer
13 years 7 months ago
2006
Springer
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
FGCS
2007
13 years 7 months ago
2007
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...
INFOCOM
2008
IEEE
14 years 2 months ago
2008
IEEE
—Data-intensive Grid applications require huge data transferring between multiple geographically separated computing nodes where computing tasks are executed. For a future WDM ne...
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HPDC
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
ESCIENCE
2006
IEEE
14 years 1 months ago
2006
IEEE
Effective scheduling in large-scale computational grids is challenging because it requires tracking the dynamic state of the large number of distributed resources that comprise th...