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SC
2009
ACM
15 years 4 months 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
GIS
2008
ACM
15 years 10 months ago
Composing geoinformatics workflows with user preferences
With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented science. Among the plethora of systems included under this framew...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...
SC
2005
ACM
15 years 3 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron
GRID
2007
Springer
15 years 3 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...
IPPS
2006
IEEE
15 years 3 months ago
Modeling and executing master-worker applications in component models
— This paper describes work in progress to extend component models to support Master-Worker applications and to let them to be executed on Grid infrastructures. The proposed appr...
Hinde-Lilia Bouziane, Christian Pérez, Thie...