The GridWay Framework for Adaptive Scheduling and Execution on Grids

Abstract

Many research and engineering fields, like Bioinformatics or Particle Physics, are confident about the development of Grid technologies to provide the huge amounts of computational and storage resources they require. Although several projects are working on creating a reliable infrastructure consisting of persistent resources and services, the truth is that the Grid will be a more and more dynamic entity as it grows. In this paper, we present a new tool that hides the complexity and dynamicity of the Grid from developers and users, allowing the resolution of large computational experiments in a Grid environment by adapting the scheduling and execution of jobs to the changing Grid conditions and application dynamic demands.