— 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...
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...
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 ...
—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...
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...