With quick evolution of grid technologies and increasing complexity of e-Science applications, reasoning temporal properties of grid workflows to ensure reliability and trustworth...
We describe some extensions to the grid smoothing scheme described in [1, 2] that deal with the following issues: 1) the clustering effect of changing valence in an unstructured ...
Abstract. Grid computing is a computing framework to meet the growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for s...
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
The size, complexity, heterogeneity, and dynamism of largescale computational grids make autonomic grid services and solutions necessary. In particular, grid schedulers must map a...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...