Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-71617-4_6
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LiTGen, a Lightweight Traffic Generator: Application to P2P and Mail Wireless Traffic

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Cited by 16 publications
(21 citation statements)
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“…For example, the LiTGen traffic generator models traffic in a hierarchical generative manner, by modeling user sessions, the web pages downloaded in each session, the objects that compose each web page, and the packets needed to retrieve each object [575,574]. The distributions for the submodels are empirical distributions extracted from a trace, which typically have long tails, but the only ones that are really important to model correctly are the number of objects in a page and the packet interarrival times.…”
Section: Merged On-off Processesmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, the LiTGen traffic generator models traffic in a hierarchical generative manner, by modeling user sessions, the web pages downloaded in each session, the objects that compose each web page, and the packets needed to retrieve each object [575,574]. The distributions for the submodels are empirical distributions extracted from a trace, which typically have long tails, but the only ones that are really important to model correctly are the number of objects in a page and the packet interarrival times.…”
Section: Merged On-off Processesmentioning
confidence: 99%
“…Similar models may be used for other types of interactive Internet traffic (e.g., email access, P2P file sharing, or media streaming). The differences among these types are due to the absence of specific levels, such as the level specifying the structure of web pages [574,151].…”
mentioning
confidence: 99%
“…This tool has been used by many researchers [25], [26], [27], [28] for evaluating their traffic models with respect to the correct reproduction of the scaling structure of the modeled traffic. By comparing the busrtiness of the synthesized and original traffic at a variety of scales, researchers can evaluate how closely their model matches the correlation structure of the modeled network.…”
Section: B Energy and Scaling Behaviormentioning
confidence: 99%
“…This approach has been used by many researchers [20], [21], [22], [23] for evaluating their traffic models with respect to the correct reproduction of the scaling structure of the modeled traffic. By comparing the busrtiness of the synthesized and original traffic at a variety of scales, researchers can evaluate how closely their model matches the correlation structure of the modeled network.…”
Section: Energy and Scaling Behaviormentioning
confidence: 99%