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)
IEEE/ACM Transactions on Networking (TON)
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
Fast, approximate synthesis of fractional Gaussian noise for generating self-similar network traffic
ACM SIGCOMM Computer Communication Review
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
ACM SIGCOMM Computer Communication Review
The pseudo-self-similar traffic model: application and validation
Performance Evaluation - Dependable systems and networks-performance and dependability symposium (DSN-PDS) 2002: Selected papers
A framework for malicious workload generation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
A case for exploiting self-similarity of network traffic in TCP congestion control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Evaluation and estimation of second-order self-similar network traffic
Computer Communications
Two approximation methods to synthesize the power spectrum of fractional Gaussian noise
Computational Statistics & Data Analysis
Fast simulation of self-similar and correlated processes
Mathematics and Computers in Simulation
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A fast method of generating fractional Gaussian noise processes based on a power spectrum function is presented. Algorithms based on the fast Fourier transform reveal low computational complexity and good performance when compared to other methods of generating self-similar processes. These methods have good accuracy in that the results of estimation of Hurst exponent do not differ significantly from expected values. The aim is to improve the efficiency of Paxson's and other recent methods while keeping a high level of accuracy. The results of numerical simulations are presented and compared from the point of view of accuracy and running time. Furthermore, a new way of exact approximation of power spectrum based on the generalized Riemann zeta function is introduced. Subsequently, this method is used for accuracy evaluation of aforementioned generators.