Modeling Users' Visiting Behaviors for Web Load Testing by Continuous Time Markov Chain

Xu, Lei; Zhang, Weifeng; Chen, Lianjie

doi:10.1109/wisa.2010.47

Cited by 2 publications

(2 citation statements)

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“…Traffic Model [17] Some existing tools, such as WebStone [4], Web Polygraph [18], and httperf [19] are based on synthetic models of Web traffic. The network traffic model should be built by the study of the characteristics of a traffic generator.…”

Section: The Existing Approaches Of Traffic Generationmentioning

confidence: 99%

“…The network traffic model should be built by the study of the characteristics of a traffic generator. For example, Xu [17] set each virtual user with a corresponding configure file, and these files determine the visiting paths, visiting moments and stay time of virtual users based on the Continuous Time Markov Chain. These models are developed analytically and then validated experimentally with measurement studies.…”

Section: The Existing Approaches Of Traffic Generationmentioning

confidence: 99%

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A Scalable Parallel Architecture Based on Many-Core Processors for Generating HTTP Traffic

Wang

Jin

et al. 2017

Applied Sciences

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Abstract:The past years have witnessed the significant development of the Internet. Numerous emerging network architectures and protocols have triggered the demand for traffic generators which stand in stark contrast to previous schemes. Namely, fixed test content is inefficient in the presence of such a dynamic and realistic demand. Moreover, the requirement of high-performance has raised the stakes on developing a new concurrent system. In this paper, we present a hierarchical parallel design for a Web traffic generator on a TILERAGX36 processor, called TGMP. We discuss the challenges in developing its hierarchical architectural design, and elaborate on its implementation details. Specifically, in order to generate a realistic network workload over a long and large time scale, we propose a user-control scheme based on cubic spline interpolation. To better improve the scalability of the system and satisfy the required flow rate, we adopt techniques, including optimization of parameters under the Linux kernel, event-driven concurrency, and parallel architectures of a TILERAGX36 processor. The experimental results demonstrate that TGMP is able to create real traffic and simulate 50,000 users accessing the Web server simultaneously.

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Section: The Existing Approaches Of Traffic Generationmentioning

confidence: 99%

Section: The Existing Approaches Of Traffic Generationmentioning

confidence: 99%