Research Article
Autonomic QoS-Aware Resource Management in Grid Computing Using Online Performance Models
@INPROCEEDINGS{10.4108/valuetools.2007.1983, author={Samue Kounev and Ramon Nou and Jordi Torres}, title={Autonomic QoS-Aware Resource Management in Grid Computing Using Online Performance Models}, proceedings={2nd International ICST Conference on Performance Evaluation Methodologies and Tools}, proceedings_a={VALUETOOLS}, year={2010}, month={5}, keywords={QoS control resource allocation online performance models Grid computing SOA}, doi={10.4108/valuetools.2007.1983} }
- Samue Kounev
Ramon Nou
Jordi Torres
Year: 2010
Autonomic QoS-Aware Resource Management in Grid Computing Using Online Performance Models
VALUETOOLS
ICST
DOI: 10.4108/valuetools.2007.1983
Abstract
As Grid Computing increasingly enters the commercial domain, performance and Quality of Service (QoS) issues are becoming a major concern. The inherent complexity, heterogeneity 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 designing autonomic QoS-aware resource managers that have the capability to predict the performance of the Grid components 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 evaluation in the context of a real-world Grid environment and its effectiveness, practicality and performance are demonstrated.