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GRID
2007
Springer
15 years 6 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...
CONCURRENCY
2006
92views more  CONCURRENCY 2006»
14 years 12 months ago
What makes workflows work in an opportunistic environment?
In this paper, we examine the issues of workflow mapping and execution in opportunistic environments such as the grid. As applications become ever more complex, the process of cho...
Ewa Deelman, Tevfik Kosar, Carl Kesselman, Miron L...
IPPS
2003
IEEE
15 years 5 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
JCP
2007
154views more  JCP 2007»
14 years 11 months ago
Introducing Virtual Private Overlay Network Services in Large Scale Grid Infrastructures
—The computational Grid concept is gaining great popularity as the best way to deliver access to a wide range of distributed computing and data resources. But, as Grids move from...
Francesco Palmieri
GRID
2004
Springer
15 years 5 months ago
MARS: A Metascheduler for Distributed Resources in Campus Grids
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...
Abhijit Bose, Brian Wickman, Cameron Wood