Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
Impact of link failures on VoIP performance
NOSSDAV '02 Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Individual QoS versus aggregate QoS: a loss performance study
IEEE/ACM Transactions on Networking (TON)
An implementation-based comparison of Measurement-Based Admission Control algorithms
Journal of High Speed Networks
On the use of fractional Brownian motion in the theory of connectionless networks
IEEE Journal on Selected Areas in Communications
Admission control for statistical QoS: theory and practice
IEEE Network: The Magazine of Global Internetworking
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Determining the maximum amount of traffic that can be admitted in a DiffServ network is a difficult task. Considering a realistic traffic scenario, the relationship between the traffic load and the queue length distribution of a Diff-Serv node is very difficult to model. This paper demonstrates how a nonliner programming (NLP) algorithm can be employed to determine the maximum load that can be accepted by a DiffServ node without deriving an analytical model. The NLP algorithm is used to "train" a parameter based admission controller (PBAC) using a specifically designed traffic profile. After training the PBAC for a specific network and specific statistical QoS guarantees, it can be used to provide these guarantees to distinct offered traffic loads. This method was evaluated in a sample scenario where (aggregated on-off) VoIP traffic and (self-similar) data traffic compete for the network resources.