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GRID
2007
Springer
14 years 1 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
SC
2009
ACM
14 years 2 months ago
Exploring many task computing in scientific workflows
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...
GRID
2006
Springer
13 years 7 months ago
Campus Grids Meet Applications: Modeling, Metascheduling and Integration
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...
Yonghong Yan, Barbara M. Chapman
CCGRID
2009
IEEE
13 years 11 months ago
Hierarchical Caches for Grid Workflows
From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and clu...
David Chiu, Gagan Agrawal
JCST
2010
128views more  JCST 2010»
13 years 2 months ago
Queue Waiting Time Aware Dynamic Workflow Scheduling in Multicluster Environments
Abstract Workflows are prevailing in scientific computation. Multicluster environments emerge and provide more resources, benefiting workflows but also challenging the traditional ...
Zhi-Feng Yu, Wei-Song Shi