MBAC: Impact of the Measurement Error on Key Performance Issues

In Measurement Based Admission Control (MBAC), the decision of accepting or rejecting a new ow is based on measurements of the current tra c situation. Since MBAC relies on measurements, an in-depth understanding of the measurement error and how it is a ected by the underlying tra c is vital for the design of a robust MBAC. In this work, we study how the measurement error impacts the admission decision, in terms of false rejections and false acceptances, and the consequence this has for the MBAC performance. A slack in bandwidth must be added to reduce the probability of false acceptance. When determining the size of this slack, the service provider is confronted with the trade-o between maximizing useful tra c and reducing useless tra c. We show how the system can be provisioned to meet a prede ned performance criteria.