%0 Journal Article %1 NoKoJuTo2008-JSS-GridAutoQoS %A Nou, Ramon %A Kounev, Samuel %A Julia, Ferran %A Torres, Jordi %C Amsterdam, The Netherlands %D 2009 %I Elsevier Science Publishers B. V. %J Journal of Systems and Software %K Analytical_and_simulation-based_analysis Application_quality_of_service_management Automated_model_learning Design_of_software_and_systems Formal_architecture_modeling Grid Instrumentation_profiling_and_workload_characterization Performance Prediction QPME_Bibliography QPN Reliability Resource_management SOA Self-adaptive-systems Self-aware-computing Simulation descartes t_journalmagazine %N 3 %P 486--502 %T Autonomic QoS control in enterprise Grid environments using online simulation %V 82 %X 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, a comprehensive framework for autonomic QoS control in enterprise Grid environments using online simulation 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. Support for advanced features such as autonomic workload characterization on-the-fly, dynamic deployment of Grid servers on demand, as well as dynamic system reconfiguration after a server failure is provided. 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.

@article{NoKoJuTo2008-JSS-GridAutoQoS, 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, a comprehensive framework for autonomic QoS control in enterprise Grid environments using online simulation 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. Support for advanced features such as autonomic workload characterization on-the-fly, dynamic deployment of Grid servers on demand, as well as dynamic system reconfiguration after a server failure is provided. 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.}, added-at = {2020-04-06T11:21:31.000+0200}, address = {Amsterdam, The Netherlands}, author = {Nou, Ramon and Kounev, Samuel and Julia, Ferran and Torres, Jordi}, biburl = {https://www.bibsonomy.org/bibtex/25c5b2c42b0101f1416682a2d9754ca4c/se-group}, interhash = {1ff3e7ee476693b3a5572832e1f445d6}, intrahash = {5c5b2c42b0101f1416682a2d9754ca4c}, journal = {Journal of Systems and Software}, keywords = {Analytical_and_simulation-based_analysis Application_quality_of_service_management Automated_model_learning Design_of_software_and_systems Formal_architecture_modeling Grid Instrumentation_profiling_and_workload_characterization Performance Prediction QPME_Bibliography QPN Reliability Resource_management SOA Self-adaptive-systems Self-aware-computing Simulation descartes t_journalmagazine}, month = {March}, number = 3, pages = {486--502}, publisher = {Elsevier Science Publishers B. V.}, timestamp = {2021-08-17T12:45:13.000+0200}, title = {{Autonomic QoS control in enterprise Grid environments using online simulation}}, volume = 82, year = 2009 }