A new control strategy named Admission Probability Control (APC) was proposed for the Web QoS control problem. In the new control process, admission control was executed randomly according to Admission Probability (AP) instead of determinably. Introducing service differentiation into the control process, a service differentiation APC named SDAPC was established. Moreover, Adaptive Genetic Algorithm (AGA) was used to adjust the control parameters for control optimization. The simulation results demonstrate that the SDAPC system is capable to guarantee the QoS of the Web server, as well as provide more desirable service for premium requests.%提出了一种新的Web服务质量(QoS)控制策略--基于准入概率的控制,使得准入控制不再是确定性行为,而是依准入概率(AP)具有随机性.在此基础上,引入了区分服务策略,建立了区分服务的准入概率控制机制SDAPC,并采用自适应遗传算法(AGA)对比例积分(PI)控制器的控制参数进行整定,实现了优化控制.仿真实验结果表明,SDAPC机制能够很好地保障Web服务器的服务质量,同时为优质的请求提供更好的服务.
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