Distributed service integration for grid resource brokers

Grid computing promise the ability to share geographically and organizationally distributed resource to increase effective computational power and resource utilization. However, for the grid computing to be successful, it is very important to provide middleware services that assist grid users to easily interact with grid environments. The paper presents a utility quality of service for grid resource brokers. Resource Brokers on the grid consult a number of distributed information service to select the best data source based on user requirements. The consultation task increases the design complexity of Resource Brokers. We have designed and implemented a utility quality of service for grid resource brokers to hide the underlying complexity of the grid resources from users and to meet not only grid user's requirements but also resource owner's policies. It focuses on the discovering and scheduling dynamic resources scattered across multiple organizations. Furthermore, it can be integrated with various scheduling services.