Task distribution models in grids: towards a profile-based approach
In this paper we present an approach to task management-encompassing scheduling and fault recovery-in grid environments. The presented approach builds on user and resource profiles, which are continuously refined so as to allow estimates on the completion time of user tasks in specific grid resources. As shown in our simulation results, our approach reduces the average completion time of tasks by balancing the processing load on the grid resources, while allowing the detection of faults during task execution, and the reservation of grid resources in advance. Copyright (C) 2009 John Wiley & Sons, Ltd.
grid computing task management performance analysis