On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Workload bounds in fluid models with priorities
Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
A most probable path approach to queueing systems with general Gaussian input
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
CAC Performance with Self-Similar Traffic: Simulation Study and Performance Results
MASCOTS '99 Proceedings of the 7th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Pipelined heap (priority queue) management for advanced scheduling in high-speed networks
IEEE/ACM Transactions on Networking (TON)
Performance analysis of priority scheduling mechanisms under heterogeneous network traffic
Journal of Computer and System Sciences
Markov models of internet traffic and a new hierarchical MMPP model
Computer Communications
Study of the Effect of the Wireless Gateway on Incoming Self-Similar Traffic
IEEE Transactions on Signal Processing
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
Decorrelation of Wavelet Coefficients for Long-Range Dependent Processes
IEEE Transactions on Information Theory
On the impact of IEEE 802.11 MAC on traffic characteristics
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Dynamic neural-based buffer management for queuing systems with self-similar characteristics
IEEE Transactions on Neural Networks
Computers and Electrical Engineering
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Traffic self-similarity has been discovered to be a ubiquitous phenomenon in communication networks and multimedia systems. Due to its fractal-like nature, performance modelling of self-similar traffic poses greater challenges and exhibits more complexity than that of traditional nonbursty traffic. As a result, most existing studies on analytical modelling of priority queueing systems with self-similar inputs have been restricted to a simplified scenario where only two traffic flows are taken into account. This study contributes to performance modelling of priority queueing systems by proposing a novel queue-decomposition approach, which offers several potential advantages and unique innovations. Specifically, we extend the well-known Empty Buffer Approximation (EBA) method to model priority queueing systems with multiple traffic flows and decompose the original priority queueing system into a group of single-server single-queue systems, which can make the challenging performance modelling problem tractable. We further develop an analytical model to investigate the queue length distributions of individual traffic flows. The validity and accuracy of the model demonstrated through extensive simulation experiments make it a practical and cost-effective evaluation tool for quantitatively evaluating the performance behavior of priority queueing systems with multi-class self-similar traffic under various working conditions.