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This article addresses an investigation of the capabilities of intelligent feedback control methodologies to provide satisfactory web server quality of service QoS in terms of delay services. Fuzzy logic-based control architectures are proposed to enhance the system performances. The first closed-loop control scheme to be applied is the standard proportional integral PI type Mamdani's fuzzy logic controller FLC. Then, the simulated annealing SA algorithm SAA is used to optimise the FLC parameters with innovative tuning procedures. Both of the FLC and the SA optimised FLC SAOFLC are implemented and tested to attempt to improve the QoS of a web server faced to sudden variations of workload. The performances of the adopted closed-loop intelligent control strategies are examined via simulation experiments.