A Brokerage Framework for Intelligent Resource Allocation in Distributed Systems

This paper proposes a novel approach in tackling the resource brokering problem in heterogeneous distributed computing systems. To obtain the best utilization of the systems, researchers are often focusing on improving scheduling algorithms and strategies with the knowledge of tasks and resources at the scheduling time. Unlike these approaches, we apply an intelligence decision making mechanism to achieve the optimization of the systems. It is designed to provide multiple desired Quality of Services on resources assembled dynamically from various service providers.