Ten lectures on wavelets
On the equivalent bandwidth of self-similar sources
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
Measurement-based admission control with aggregate traffic envelopes
IEEE/ACM Transactions on Networking (TON)
Connection-level analysis and modeling of network traffic
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Testing the Gaussian approximation of aggregate traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Analysis on Generalized Stochastically Bounded Bursty Traffic for Communication Networks
LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
Envelope process and computation of the equivalent bandwidth of multifractal flows
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Long-range dependence in a changing internet traffic mix
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Cluster processes: a natural language for network traffic
IEEE Transactions on Signal Processing
A wavelet-based joint estimator of the parameters of long-range dependence
IEEE Transactions on Information Theory
Stochastically bounded burstiness for communication networks
IEEE Transactions on Information Theory
Statistical service assurances for traffic scheduling algorithms
IEEE Journal on Selected Areas in Communications
Scaling Analysis of Wavelet Quantiles in Network Traffic
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
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In this paper we propose a method, related to the theory of Network Calculus, for the analysis of aggregate network traffic by means of empirical rate-interval curves obtained from experimental data. The algorithm on which it is based differs from the commonly employed wavelet-based approach, although it retains some of its multiresolution features. We briefly introduce the theoretical aspects, analyze measurement accuracy and present results, obtained both by simulation and by the analysis of real traffic traces, which provide an assessment of the strengths and weaknesses of the proposed method. Rate-interval curve analysis provides very robust and acceptably accurate estimates of the Hurst parameter value and, even in the presence of flow irregularities, results can be proved to be correct as far as scaling properties are concerned. Further analyzes concerning peaks, bursts and similar localized phenomena that may have a significant impact on the performances of a network are allowed by considering maximal rate envelopes, showing the potential of this approach for monitoring applications.