Dynamic Resources Allocation in Grid Enviroments

This paper presents DyAG, an innovative solution for dynamic allocation of resources for services workflows in Grid enviroments. The proposed solution is responsible with the efficient mapping of the services which make up a Business Process Execution Language workflow onto resources, represented by Web Services, from the Grid enviroment. The presented solution is part of a framework that aims to allow the deployment of large scale workflow enabled scientific applications from a wide range of research fields onto the Grid. A series of allocation policies is considered, but the DyAG also allows the users to dynamically change the policy employed by the scheduler at runtime, through a class loading mechanism. This allows the employment of application profiling techniques in order to finely tune the scheduler in accordance with the characteristics of the environment it is running in, either by changing the various parameters of the policies proposed, or by loading completely new policies.