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A method of admission control based on both resource requests by applications and class-based traffic measurement results was developed. In this method, a wide range of admission-control policy can be realized by adjusting three parameters, alpha, beta, and gamma. A policy-server prototype using this method and simulated voice traffic was used in traffic measurements. The measurements results show that the proposed method improves bandwidth usage and decreases call-blocking ratio while incurring low measurement load. Interesting but possibly harmful dynamics (i.e., system behavior) were observed by the simulations using traffic generated by an on/off model. That is, this admission-control method may cause oscillation or long-term evolution that lasts for 100 to 150 minutes, and it may also cause band-width ldquoovershootingrdquo. The range of parameters with which such effects can be properly suppressed and the admission control correctly works was experimentally obtained.