A histogram-based model for video traffic behavior in an ATM multiplexer
IEEE/ACM Transactions on Networking (TON)
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)
What are the implications of long-range dependence for VBR-video traffic engineering?
IEEE/ACM Transactions on Networking (TON)
Multimedia Systems - Special issue on multimedia networking
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Improved loss calculations at an ATM multiplexer
IEEE/ACM Transactions on Networking (TON)
Real-Time Transport of MPEG Video with a Statistically Guaranteed Loss Ratio in ATM Networks
IEEE Transactions on Parallel and Distributed Systems
Loss probability calculations and asymptotic analysis for finite buffer multiplexers
IEEE/ACM Transactions on Networking (TON)
The BMAP/G/1 QUEUE: A Tutorial
Performance Evaluation of Computer and Communication Systems, Joint Tutorial Papers of Performance '93 and Sigmetrics '93
Mean value analysis for computer systems with variabilities in workload
IPDS '96 Proceedings of the 2nd International Computer Performance and Dependability Symposium (IPDS '96)
Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Traffic data repository at the WIDE project
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
Broadband traffic modeling: simple solutions to hard problems
IEEE Communications Magazine
Web server performance analysis using histogram workload models
Computer Networks: The International Journal of Computer and Telecommunications Networking
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This paper proposes to use histograms for characterising network traffic and a simple stochastic process for network performance analysis. The result of this process is the buffer occupancy histogram (queue length distribution) using a finite queue model. From this buffer occupancy histogram we detail how to obtain another interesting performance parameters like cell loss ratio and network delay distribution. The proposed method has been extensively evaluated using real traffic traces. These evaluations show that the model is accurate. Applications of this model are very wide: analysis and prediction of QoS parameters, network dimensioning and provisioning, traffic admission control, etc.