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To provide statistical service guarantee and achieve high network utilization, measurement-based admission control (MBAC) has been studied for over one decade. Many MBAC algorithms have been proposed in the literature. However, most of them belong to aggregate MBAC algorithms which assume or require that (1) first-in-first-out (FIFO) is used for aggregating(More)
Measurement-based admission control (MBAC) is an important technique for providing statistical service guarantees and many MBAC algorithms have been proposed in the literature. It has also been investigated in a previous work that these algorithms achieve nearly the same utilization for a given packet loss rate or in short the same loss-load curve. Based on(More)
Admission control is a crucial network element for providing quality of service (QoS) guarantees in the Internet. In this paper, we propose a novel framework approach, called implicit admission control (iAC), for admission control in a differentiated services (DiffServ) network. In the iAC approach, admission control is performed distributedly at routers.(More)
Measurement based admission control (MBAC) has long been recognized as the best method for providing stochastic 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 target(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)
The research effort at the Centre is motivated by society's growing dependency on a multitude of networked based services. Despite intensive attention by the world research community for a number of years, there are still many unsolved issues; proposed solutions do not scale or meet reasonable Quality of Service requirements, or it is not known how much(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)