Quantifying the Uncertainty in Measurements for MBAC

Date Added: Jun 2009
Format: PDF

In Measurement Based Admission Control (MBAC), the decision of accepting or rejecting a new flow is based on measurements of the current traffic situation. An in-depth understanding of the measurement error and its uncertainty is vital for the design of a robust MBAC. In this paper, the authors study the measured parameters used by the MBAC and characterize their error. Their work differs significantly from previous work in that they find how the uncertainty in the measurements varies with the length of the observation window.