A framework for robust measurement-based admission control
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In this paper we present an implementation-based comparison of Measurement-based Admission Control algorithms. Through the use of a special purpose environment, a performance and behaviour comparison is made. The results of this paper illustrate the independence of traffic from admission control behaviour in the homogeneous traffic environment. While illustrating the impact the admission decision will make upon heterogenous traffic systems. These results highlight the importance of estimators being robust to statistical variation in measurements and offering calibrated controls. While based upon a comparison of measurement-based admission control algorithms — these conclusions are applicable to any application of measurement-based estimation.