Design of a real-time call admission controller for ATM networks
IEEE/ACM Transactions on Networking (TON)
Diffusion based statistical call admission control in ATM
Performance Evaluation
A measurement-based admission control algorithm for integrated service packet networks
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
A framework for robust measurement-based admission control
IEEE/ACM Transactions on Networking (TON)
Measurement-based admission control with aggregate traffic envelopes
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Overview of measurement-based connection admission control methods in ATM networks
IEEE Communications Surveys & Tutorials
Equivalent capacity and its application to bandwidth allocation in high-speed networks
IEEE Journal on Selected Areas in Communications
Dynamic call admission control in ATM networks
IEEE Journal on Selected Areas in Communications
Resource allocation for broadband networks
IEEE Journal on Selected Areas in Communications
Resource management in wide-area ATM networks using effective bandwidths
IEEE Journal on Selected Areas in Communications
A coarse-grain analysis for the performance of measurement-based admission control algorithms
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
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We present a dynamic call admission control method based on the diffusion approximation method. The diffusion approximation method is traditionally used for calculating the effective bandwidth for a number of connections having a certain cell loss requirement. The proposed method has a low implementation overhead since it performs measurements on the aggregate traffic stream at a particular ATM switch as opposed to other methods that need to perform per-source measurements. We provide a study of the performance of the method for specific traffic types using simulation and compare with the performance of the static diffusion approximation effective bandwidth method. We also study the influence of variation in traffic parameters such as the source traffic descriptors, the buffer capacity, and the required cell loss probability on the performance of the method.