Broker Selection Strategies in Interoperable Grid Systems

The increasing demand for resources of the high performance computing systems has led to new forms of collaboration of distributed systems such as interoperable grid systems that contain and manage their own resources. While with a single grid domain one of the most important tasks is the selection of the most appropriate set of resources to dispatch a job, in an interoperable grid environment this problem shifts to selecting the most appropriate domain containing the requiring resources for the job. In this paper, we present and evaluate broker selection strategies for interoperable grid systems. They use aggregated resource information as well as dynamic performance information of the underlying scheduling layers. From our evaluations performed with simulation tools, we conclude that aggregation techniques do not penalize performance significantly, and that delegating part of the scheduling responsibilities to the underlying scheduling layers is a good way to balance the load among the different grid systems.