Quantifying the Uncertainty in Measurements for MBAC

Abstract. 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 work, we study the measured parameters used by the MBAC and characterize their error. Our work differs significantly from previous work in that we find how the uncertainty in the measurements varies with the length of the observation window. Key words: MBAC; QoS; Measurements; Error; Uncertainty; Gaussian distribution;

• Type: Conference
• Year: 2009
• Where: IFIP
• Authors: Anne Nevin, Peder J. Emstad, Yuming Jiang, Guoqiang Hu
• Keywords: Communications, Current Traffic Situation, IFIP 2009, Measurement Based Admission, Measurements