On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Fluid queues and regular variation
Performance Evaluation
New models for pseudo self-similar traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
Telecommunication traffic, queueing models, and subexponential distributions
Queueing Systems: Theory and Applications
The Importance of Power-Tail Distributions for Modeling Queueing Systems
Operations Research
Stochastically bounded burstiness for communication networks
IEEE Transactions on Information Theory
A Markovian approach for modeling packet traffic with long-range dependence
IEEE Journal on Selected Areas in Communications
The M/G/1 queue with heavy-tailed service time distribution
IEEE Journal on Selected Areas in Communications
Application of network calculus to general topologies using turn-prohibition
IEEE/ACM Transactions on Networking (TON)
Handoff counting in hierarchical cellular system with overflow scheme
Computer Networks: The International Journal of Computer and Telecommunications Networking
Sojourn Times in the M/PH/1 Processor Sharing Queue
Queueing Systems: Theory and Applications
Solving the ME/ME/1 queue with state-space methods and the matrix sign function
Performance Evaluation
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Design and evaluation of web proxies by leveraging self-similarity of web traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Network modelling and simulation
A general model for long-tailed network traffic approximation
The Journal of Supercomputing
Segment-based adaptive hyper-Erlang model for long-tailed network traffic approximation
The Journal of Supercomputing
A comparative analysis of server selection in content replication networks
IEEE/ACM Transactions on Networking (TON)
Hyper-Erlang based model for network traffic approximation
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
Performance of server selection algorithms for content replication networks
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 31st international symposium on computer performance, modeling, measurements and evaluation (IFIPWG 7.3 Performance 2013)
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We propose a new methodology for modeling and analyzing power-tail distributions, such as the Pareto distribution, in communication networks. The basis of our approach is a fitting algorithm which approximates a power-tail distribution by a hyperexponential distribution. This algorithm possesses several key properties. First, the approximation can be achieved within any desired degree of accuracy. Second, the fitted hyperexponential distribution depends only on a few parameters. Third, only a small number of exponentials are required in order to obtain an accurate approximation over many time scales. Once equipped with a fitted hyperexponential distribution, we have an integrated framework for analyzing queueing systems with power-tail distributions. We consider the GI/G/1 queue with Pareto distributed service time and show how our approach allows to derive both quantitative numerical results and asymptotic closed-form results. This derivation shows that classical teletraffic methods can be employed for the analysis of power-tail distributions.