Adaptive Task Scheduling in Grid Computing Environments

In this study the task scheduling problem in Grid computing environments has been addressed. To resolve the problem a set of Grid Services are defined and implemented conforming to the OGSA standards. The proposed scheduling architecture is semantically enhanced and provides the most appropriate assignment of tasks to computing resources, given the current load conditions of each computing resource and the network status. The Ant Colony Optimization algorithm (ACO) was used to effectively assign tasks to computing resources. First experimental results indicate that the proposed framework produces good results in comparison to other well known schemes considered (e.g. round robin).