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» Pegasus: Mapping Scientific Workflows onto the Grid
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2009
ACM
14 years 12 days ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
GRID
2007
Springer
13 years 11 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...
CORR
2008
Springer
185views Education» more  CORR 2008»
13 years 5 months ago
Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
ESCIENCE
2007
IEEE
13 years 12 months ago
A Dynamic Critical Path Algorithm for Scheduling Scientific Workflow Applications on Global Grids
Effective scheduling is a key concern for the execution of performance driven Grid applications. In this paper, we propose a Dynamic Critical Path (DCP) based workflow scheduling ...
Mustafizur Rahman 0003, Srikumar Venugopal, Rajkum...
EGC
2005
Springer
13 years 11 months ago
Workflow Management in the CrossGrid Project
Grid systems offer high computing capabilities that are used in many scientific research fields and thus many applications are submitted to these powerful systems. Parallel applica...
Anna Morajko, Enol Fernández, Alvaro Fern&a...