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GRID
2007
Springer
13 years 10 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...
IJHPCA
2010
117views more  IJHPCA 2010»
13 years 2 months ago
Grids and Clouds: Making Workflow Applications Work in Heterogeneous Distributed Environments
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...
Ewa Deelman
CCGRID
2007
IEEE
13 years 10 months ago
Active Data: Supporting the Grid Data Life Cycle
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...
Tim Ho, David Abramson
CLUSTER
2000
IEEE
13 years 4 months ago
Data management for large-scale scientific computations in high performance distributed systems
With the increasing number of scientific applications manipulating huge amounts of data, effective high-level data management is an increasingly important problem. Unfortunately, ...
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No,...
PDP
2009
IEEE
13 years 11 months ago
Effects of Job and Task Placement on Parallel Scientific Applications Performance
—this paper studies the influence that task placement may have on the performance of applications, mainly due to the relationship between communication locality and overhead. Thi...
Javier Navaridas, Jose Antonio Pascual, José...