IEEE/ACM Transactions on Networking (TON)
Analysis of CMPP Approach in Modeling Broadband Traffic
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
A Set of Tools for Traffic Modeling, Analysis and Experimentation
TOOLS '00 Proceedings of the 11th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
On Modeling Round-Trip Time Dynamics of the Internet Using System Identification
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part I
Modelling internet delay dynamics: comparative study
AsiaCSN '07 Proceedings of the Fourth IASTED Asian Conference on Communication Systems and Networks
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This paper develops fast algorithms for the construction of a circulant modulated rate process to match with the two primary traffic statistical functions: rate distribution f(x) and autocorrelation R(τ). Using existing modeling techniques, f(x) has to be limited to certain forms such as Gaussian or binomial; R(τ) can only consist of one or two exponential terms which are often real exponentials rather than complex. In reality, these two functions are collected from real traffic traces and generally expressed in a very complicated form. We only consider the traffic whose correlation function can be approximated by the sum of complex exponentials. Our emphasis is placed on the algorithm design for matching complicated R(τ) in traffic modeling. The typical CPU time for traffic modeling with R(τ) consisting of five or six complex exponential terms is found to be in the range of a few minutes by the proposed algorithms. Our study further shows an excellent agreement between the original traffic traces and the sequences generated by the matched analytical model. The selection of the measurement-window in traffic statistics collection for queueing performance analysis is also discussed