In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...
Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major ...
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...
This paper presents a method to optimize the timeout value of computing jobs. It relies on a model of the job execution time that considers the job management system latency throu...
Globus has become a standard in the construction of Grid computing environments. However, it still needs more work and research to satisfy requirements from various grid applicatio...