The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
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)
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
On a Markov modulated chain exhibiting self-similarities over finite timescale
Performance Evaluation
IEEE/ACM Transactions on Networking (TON)
New models for pseudo self-similar traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
The changing nature of network traffic: scaling phenomena
ACM SIGCOMM Computer Communication Review
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Heavy-tailed probability distributions in the World Wide Web
A practical guide to heavy tails
On the relevance of long-range dependence in network traffic
IEEE/ACM Transactions on Networking (TON)
Use of &agr;-stable self-similar stochastic processes for modeling traffic in broadband networks
Performance Evaluation - Special issue on performance and control of network systems
On the propagation of long-range dependence in the Internet
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Modeling heterogeneous network traffic in wavelet domain
IEEE/ACM Transactions on Networking (TON)
Can Self-Similar Traffic Be Modeled by Markovian Processes?
IZS '96 Proceedings of the 1996 International Zurich Seminar on Digital Communications: Broadband Communications - Networks, Services, Applications, Future Directions
On the Autocorrelation Structure of TCP Traffic TITLE2:
On the Autocorrelation Structure of TCP Traffic TITLE2:
Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Infinitely divisible cascade analysis of network traffic data
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
On the use of fractional Brownian motion in the theory of connectionless networks
IEEE Journal on Selected Areas in Communications
Performance analysis of priority scheduling mechanisms under heterogeneous network traffic
Journal of Computer and System Sciences
Internet traffic modeling by means of Hidden Markov Models
Computer Networks: The International Journal of Computer and Telecommunications Networking
An HMM Approach to Anonymity Analysis of Continuous Mixes
Advanced Web and NetworkTechnologies, and Applications
Design and dimensioning of an edge router using Markov model
International Journal of Communication Networks and Distributed Systems
Per-stream loss behavior of ΣMAP/M/1/K queuing system with a random early detection mechanism
Information Sciences: an International Journal
Optimization and early-warning in DSL access networks based on simulation
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Correct router interface modeling
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
QoS enhancements and performance analysis for delay sensitive applications
Journal of Computer and System Sciences
Controlling mean queuing delay under multi-class bursty and correlated traffic
Journal of Computer and System Sciences
A periodic structural model for characterizing network traffic
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
IEEE/ACM Transactions on Networking (TON)
Journal of Network and Computer Applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Hi-index | 0.24 |
The first part of this paper gives a short tutorial survey of Internet traffic modeling, focusing on recent advances in Markov models showing pseudo-LRD (Long Range Dependence) characteristics that match those measured on the Internet. The interest in Markov models of Internet traffic, in spite of the impossibility to achieve true LRD or Self-Similarity, lies in the possibility of exploiting powerful analytical techniques to predict the network performance, which is the ultimate goal when adopting models to either study existing networks or design new ones. Then, the paper describes a new MMPP (Markov Modulated Poisson Process) traffic model that accurately approximates the LRD characteristics of Internet traffic traces over the relevant time scales. The heart of the model is based on the notion of sessions and flows, trying to mimic the real hierarchical generation of packets in the Internet. The proposed model is simple and intuitive: its parameters have a physical meaning, and the model can be tuned with only a few input parameters. Results prove that the queuing behavior of the traffic generated by the MMPP model is coherent with the one produced by real traces collected at our institution edge router under several different traffic loads. Due to its characteristics, the proposed MMPP traffic model can be used as a simple and manageable tool for IP network dimensioning, design and planning: the paper provides examples of its application in both simulative and theoretical analysis.