@article { 1513357,
	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. This 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.},
	keywords = {Grid, Simulation, Resource management, Autonomic, Virtualization},
	address = {New York, NY, USA},
	publisher = {Elsevier Science Inc.},
	doi = {http://dx.doi.org/10.1016/j.jss.2008.07.048},
	pages = {486--502},
	issn = {0164-1212},
	year = {2009},
	number = {3},
	volume = {82},
	journal = {J. Syst. Softw.},
	title = {Autonomic QoS control in enterprise Grid environments using online simulation},
	author = {Nou , Ramon and Kounev , Samuel and Juli\'{\i} , Ferran and Torres , Jordi}
}