Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Loss probability calculations and asymptotic analysis for finite buffer multiplexers
IEEE/ACM Transactions on Networking (TON)
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
Advances in Network Simulation
Computer
Individual QoS versus aggregate QoS: a loss performance study
IEEE/ACM Transactions on Networking (TON)
A Self-Adapted Wavelet-Based Fuzzy Predictor of Network Traffic
CIC '06 Proceedings of the 15th International Conference on Computing
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
Optimizing a priority-discipline queueing model using fuzzy set theory
Computers & Mathematics with Applications
An implementation-based comparison of Measurement-Based Admission Control algorithms
Journal of High Speed Networks
Fuzzy adaptive predictive flow control of ATM network traffic
IEEE Transactions on Fuzzy Systems
Token bucket characterization of long-range dependent traffic
Computer Communications
Equivalent capacity and its application to bandwidth allocation in high-speed networks
IEEE Journal on Selected Areas in Communications
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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Capacity planning of IP-based networks is a difficult task. Ideally, in order to estimate the maximum amount of traffic that can be carried by the network, without violating QoS requirements such as end-to-end delay and packet loss, it is necessary to determine the queue length distribution of the network nodes under different traffic conditions. When per-flow guarantees are required (e.g., VoIP traffic), it is also necessary to determine the impact of the queue behavior on the performance of individual flows. Analytical models for queue length distribution are available only for relatively simple traffic patterns. This paper proposes a generic method for building a fuzzy predictor for modeling the behavior of a DiffServ node with multiple queues. The method combines nonlinear programming (NLP) and simulation to build a fuzzy predictor capable of determining the performance of a DiffServ node subjected to both per-flow and aggregated performance guarantees. This approach does not require deriving an analytical model, and can be applied to any type of traffic. In this paper, we employ the fuzzy approach to model the behavior of a multi-queue node where (aggregated ON-OFF) VoIP traffic and (self-similar) data traffic compete for the network resources.