Effective bandwidths with priorities
IEEE/ACM Transactions on Networking (TON)
A framework for robust measurement-based admission control
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
CAC procedures for leaky bucket-constrained sources
Performance Evaluation - Special issue: ATM networks: Performance modelling and analysis
Measurement-based admission control with aggregate traffic envelopes
IEEE/ACM Transactions on Networking (TON)
Optimal trajectory to overflow in a queue fed by a large number of sources
Queueing Systems: Theory and Applications
The output of a switch, or, effective bandwidths for networks
Queueing Systems: Theory and Applications
The Buffer-Bandwidth Trade-off Curve is Convex
Queueing Systems: Theory and Applications
Invited Practical connection admission control for ATM networks based on on-line measurements
Computer Communications
An introduction to large deviations for communication networks
IEEE Journal on Selected Areas in Communications
Large deviations approximation for fluid queues fed by a large number of on/off sources
IEEE Journal on Selected Areas in Communications
A decision-theoretic approach to call admission control in ATM networks
IEEE Journal on Selected Areas in Communications
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In this paper we analyze the performance of a dynamic admission control algorithm in a network of aggregate traffic. The algorithm is designed for statistical quality of service guarantees and its theoretical foundation stems from the application of the many sources asymptotic, a large deviation result whose general validity and accuracy are specially useful to cope with admissions both to buffered and unbuffered resources making minimal assumptions about the statistical properties of the traffic. We describe an implementation of the method, discuss some practical tradeoffs and illustrate its robustness against traffic with complex (e.g. long-range dependent) behavior. Our numerical results show that the computational effort needed by the algorithm is reasonable and that the multiplexing gain is nearly optimal in systems of realistic size.