The synTraff suite of traffic modeling toolkits

Balakrishnan, Rama; Williamson, Carey

doi:10.1109/mascot.2000.876556

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…This paper has presented a graphical user interface for the generation and analysis of Web proxy workloads, and for simple simulation studies of Web proxy cache performance. The Web traffic modeling and analysis tools are based on our prior work in the published literature [6,9], and have an easy-to-use graphical interface written in Tcl/Tk. We have found the toolkit useful in a sensitivity study of Web proxy cache performance [10], and in a study of filter effects in Web caching hierarchies [4,5,15].…”

Section: Discussionmentioning

confidence: 99%

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WebTraff: a GUI for Web proxy cache workload modeling and analysis

Markatchev

Williamson

Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems

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This paper describes an interactive graphical user interface (GUI) that can be used for the modeling and analysis of Web proxy workloads. The WebTraff GUI has three main components. First, the WebTraff tool provides a visual front-end to ProWGen, a Web proxy workload generation tool developed in prior work, which can be used for generating synthetic Web proxy workloads of arbitrary length, with userspecified statistical properties. Second, the WebTraff GUI provides tools for the analysis of Web proxy workload characteristics, including document size distribution, document popularity profile, and temporal locality properties. Third, the GUI provides a front-end to a simple Web proxy cache simulation program, which can be used in studies of Web proxy cache performance and cache filter effects.

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Section: Discussionmentioning

confidence: 99%

“…Additional buttons provide tests for long-range dependence (LRD) in the request arrival process (i.e., autocorrelation function, variance-time plot, and R/S analysis) [12,14]. These analyses are similar to those supported in the SynTraff GUI developed previously for modeling and analysis of LRD traffic [6].…”

Section: Web Workload Analysismentioning

confidence: 99%

WebTraff: a GUI for Web proxy cache workload modeling and analysis

Markatchev

Williamson

Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems

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“…Several models for self-similar stochastic processes exist, including Fractional Gaussian Noise and Fractional-ARIMA processes. In our study, we use the syn-Traff traffic modeling toolkit developed in prior work [6]. It uses a three-step modeling approach based on Fractional-ARIMA processes to generate monofractal traffic.…”

Section: Case 3: Self-similar Arrival Processmentioning

confidence: 99%

Workload characterization in Web caching hierarchies

Bai

Williamson

Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems

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This paper uses trace-driven simulation and synthetic Web workloads to study the request arrival process at each level of a simple Web proxy caching hierarchy. The simulation results show that a Web cache reduces both the peak and the mean request arrival rate for Web traffic workloads. However, the variability of the request arrival process may either increase, decrease, or remain the same after the cache, depending on the input arrival process and the configuration of the cache. If the input request arrival process is self-similar, then the filtered request arrival process remains self-similar, though with reduced mean. Furthermore, the superposition of Web request streams from multiple child caches results in a bursty aggregate request stream. Finally, we find that a Gamma distribution provides a flexible means of modeling the request arrival count distribution in hierarchical Web caching architectures.

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Time-domain analysis of Web cache filter effects

Bai¹,

Williamson²

2004

Performance Evaluation

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This paper uses trace-driven simulation to study the traffic arrival process for Web workloads in a simple Web proxy caching hierarchy. Both empirical and synthetic Web proxy workloads are used in the study. The simulation results show that a Web cache reduces both the peak and the mean request arrival rate for Web traffic workloads, while the variance-to-mean ratio of the filtered traffic typically increases, depending on the input arrival process and the configuration of the cache. If the input traffic is self-similar, then the filtered request traffic remains self-similar, with the same Hurst parameter, though with reduced mean. Finally, we find that a Gamma distribution provides a flexible and robust means of modeling aggregate workloads in hierarchical Web caching architectures, for a broad range of workload characteristics and Web proxy cache sizes. To demonstrate the generality and effectiveness of the modeling approach, we present a detailed example of filter effects and traffic superposition in a two-level Web caching hierarchy with heterogenous input workloads. The Gamma modeling results match well with the results from trace-driven simulations.

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The synTraff suite of traffic modeling toolkits

Cited by 4 publications

References 14 publications

WebTraff: a GUI for Web proxy cache workload modeling and analysis

WebTraff: a GUI for Web proxy cache workload modeling and analysis

Workload characterization in Web caching hierarchies

Time-domain analysis of Web cache filter effects

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