Stress testing real-time systems with genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An SLA-based resource virtualization approach for on-demand service provision
VTDC '09 Proceedings of the 3rd international workshop on Virtualization technologies in distributed computing
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In the next twenty years, service-oriented computing will play an important role in sharing the industry and the way business is conducted and services are delivered and managed. This paradigm is expected to have major impact on service economy; the service sector includes health services (e-health), financial services, government services, etc.With increased dependencies on Information and Communications Technology (ICT) in their realization, major advances are required in user (Quality of Services) QoS based allocation of resources to competing applications in a shared environment provisioning though secure virtual machines. In this paper, we pointed in addressing the problem of enabling Service Level Agreement (SLA) oriented resources allocation in data centers to satisfy competing applications demand for computing services. e-Health offers a QoS Health Report designed to compare performance variables to QoS parameters and indicate when a threshold has been crossed. e-Health graphs relevant performance metrics on the same axes as thresholds indicative of SLAs or equivalent requirements. We suggest a methodology which helps in SLA evaluation and comparison. The methodology was found on the adoption of policies both for service behavior and SLA description and on the definition of a metric function for evaluation and comparison of policies. In addition, this paper contributes a new philosophy to evaluate the agreements between user and service provider by monitoring the measurable and immeasurable qualities to extract the decision by using artificial neural networks (ANN).