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GCC
2007
Springer
15 years 8 months ago
Adapting to Application Workflow in Processing Data Integration Queries
Data integration has evolved to provide efficient data management across distributed and heterogeneous data sources in grid environment. However, existing works in data integratio...
Yongwei Wu, Jia Liu, Gang Chen, Guangwen Yang, Bo ...
SC
2009
ACM
15 years 9 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
ENTCS
2007
140views more  ENTCS 2007»
15 years 2 months ago
Secured Information Flow for Asynchronous Sequential Processes
We present in this article a precise security model for data confidentiality in the framework of ASP (Asynchronous Sequential Processes). ASP is based on active objects, asynchro...
Isabelle Attali, Denis Caromel, Ludovic Henrio, Fe...
116
Voted
IUI
2012
ACM
13 years 10 months ago
A visual programming language for designing interactions embedded in web-based geographic applications
Visual programming languages (VPLs) provide notations for representing both the intermediate and the final results of a knowledge engineering process. Whereas some VPLs particula...
The Nhan Luong, Patrick Etcheverry, Christophe Mar...
149
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HPDC
2002
IEEE
15 years 7 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster