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DEBU
2011
13 years 4 days ago
Integrating Renewable Energy Using Data Analytics Systems: Challenges and Opportunities
The variable and intermittent nature of many renewable energy sources makes integrating them into the electric grid challenging and limits their penetration. The current grid requ...
Andrew Krioukov, Christoph Goebel, Sara Alspaugh, ...
EGC
2005
Springer
14 years 2 months ago
eNANOS Grid Resource Broker
Grid computing has been presented as a way to share geographically and organizationally distributed resources and to perform successfully distributed computation. For achieve this ...
Ivan Rodero, Julita Corbalán, Rosa M. Badia...
CLUSTER
2006
IEEE
14 years 2 months ago
I/O Scheduling Service for Multi-Application Clusters
Distributed applications, especially the ones being I/O intensive, often access the storage subsystem in a non-sequential way (stride requests). Since such behaviors lower the ove...
Adrien Lebre, Guillaume Huard, Yves Denneulin, Prz...
MIDDLEWARE
2007
Springer
14 years 2 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
CCGRID
2006
IEEE
14 years 2 months ago
Simple Locality-Aware Co-allocation in Peer-to-Peer Supercomputing
With current grid middleware, it is difficult to deploy distributed supercomputing applications that run concurrently on multiple resources. As current grid middleware systems ha...
Niels Drost, Rob van Nieuwpoort, Henri E. Bal