Combining AiG Agents with Unicore Grid for Improvement of User Support

Grid computing has, in recent history, become an invaluable tool for scientific research. As grid middleware has matured, considerations have extended beyond the core functionality, towards greater usability. The aim of this paper is to consider how resources that are available to the users across the Queens gate Grid (QGG) at the University of Huddersfield (UoH), could be accessed with the help of an ontology-driven interface. The interface is a part of the Agent in Grid (AiG) project under development at the Systems Research Institute Polish Academy of Sciences (SRIPAS). It is to be customized and integrated with the UoH computing environment. The overarching goal is to help users of the grid infrastructure. The secondary goals are: (i) to improve the performance of the system, and (ii) to equalize the distribution of work among resources. Results presented in this paper include the new ontology that is being developed for the grid at the UoH, and the description of issues encountered during the development of a scenario when user searches for an appropriate resource within the Unicore grid middleware and submits job to be executed on such resource.