Autonomic QoS-Aware resource management in grid computing using online performance models
Samuel Kounev, Ramón Nou, Jordi Torres · 2007
As Grid Computing increasingly enters the commercial do-main, performance and Quality of Service (QoS) issues are becoming a major concern. The inherent complexity, het-erogeneity and dynamics of Grid computing environments pose some challenges in managing their capacity to ensure that QoS requirements are continuously met. In this paper, an approach to autonomic QoS-aware resource management in Grid computing based on online performance models is proposed. The paper presents a novel methodology for de-signing autonomic QoS-aware resource managers that have the capability to predict the performance of the Grid com-ponents they manage and allocate resources in such a way that service level agreements are honored. The goal is to make the Grid middleware self-configurable and adaptable to changes in the system environment and workload. The approach is subjected to an extensive experimental evalu-ation in the context of a real-world Grid environment and its effectiveness, practicality and performance are demon-strated.