Procedures and tools for analysis of network traffic measurements
Performance Evaluation
Performance evaluation of an adaptive-rate MPEG encoder matching intserv traffic constraints
IEEE/ACM Transactions on Networking (TON)
QoS-IP '01 Proceedings of the International Workshop on Quality of Service in Multiservice IP Networks
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
IEEE/ACM Transactions on Networking (TON)
jMarkov: an object-oriented framework for modeling and analyzing Markov chains and QBDs
SMCtools '06 Proceeding from the 2006 workshop on Tools for solving structured Markov chains
Modelling internet delay dynamics: comparative study
AsiaCSN '07 Proceedings of the Fourth IASTED Asian Conference on Communication Systems and Networks
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SMAQ is a measurement-based tool for integration of traffic modeling and queuing analysis. There are three basic components in SMAQ. In the design of the first component, statistic measurement, the most critical issues are to identify the important traffic statistics for queuing analysis in a finite buffer system and then to build a measurement structure to collect them. Our study indicates that both first- and second-order traffic statistics, measured within a given frequency-window, have a very significant impact on the queue length and loss rate performance. In the design of the second component, matched modeling, the focal point is to construct a stochastic model that can match a wide range of important statistics collected in various applications. New methodologies and fast algorithms are developed for such construction on the basis of a circulant modulated Poisson process (CMPP). For the third component, queuing solutions, the basic requirement is to provide numerical solutions of the queue length and loss rate for transport of given traffic in a finite buffer system. A fast and stable computation method, called a Folding algorithm, is applied to provide both steady-state and transient solutions of various kinds, including congestion control performance where arriving traffic are selectively discarded based on queue thresholds. We provide both design methodologies and software architectures of these three components, with discussion of practical engineering issues for the use of the SMAQ tool