Anne Nevin

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— Measurement Based Admission Control (MBAC) has long been recognized as the best method for providing sto-chastic service guarantees. Since MBAC relies on measurements, the actual performance of MBAC can only be established through simulations or on real networks. There are two main performance measures, 1) How well the MBAC can actually meet the QoS(More)
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(More)
In Measurement Based Admission Control (MBAC), the decision of accepting or rejecting a new ow is based on measurements of the current trac situation. Since MBAC relies on measurements, an in-depth understanding of the measurement error and how it is aected by the underlying trac is vital for the design of a robust MBAC. In this work, we study how the(More)
—In network quality of service provisioning, premium services generally require to keep a very small loss probability, which is infeasible to measure directly. The proposed virtual queue scheme estimates the small packet loss probability of a real queueing system by measuring queue statistics in a set of separate virtual queues. A novel scaling property(More)
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