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» Chameleon: A Resource Scheduler in A Data Grid Environment
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HPDC
2010
IEEE
15 years 7 months ago
MOON: MapReduce On Opportunistic eNvironments
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
IADIS
2004
15 years 7 months ago
Moginma: an autonomous grid node monitoring agent
The accelerated development in grid computing has positioned it as a promising next generation computing platform. It enables the creation of virtual organizations (VO) for sharin...
Arshad Ali, Fawad Nazir, Hamid Abbas Burki, Tallat...
178
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COMSWARE
2008
IEEE
16 years 16 days ago
An efficient and bandwidth sensitive parallel download scheme in data grids
—For modern scientific applications such as astrophysics, astronomy, aerography, and biology, a large amount of storage space is required because of the large-scale datasets. Dat...
Ruay-Shiung Chang, Chun-Fu Lin, Jiing-Hsing Ruey, ...
PKDD
2005
Springer
136views Data Mining» more  PKDD 2005»
15 years 11 months ago
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
Domenico Talia, Paolo Trunfio, Oreste Verta
ESCIENCE
2006
IEEE
16 years 4 days ago
Managing Large-Scale Workflow Execution from Resource Provisioning to Provenance Tracking: The CyberShake Example
This paper discusses the process of building an environment where large-scale, complex, scientific analysis can be scheduled onto a heterogeneous collection of computational and s...
Ewa Deelman, Scott Callaghan, Edward Field, Hunter...