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Download PDFOpen PDF in browserSelf-similar Traffic Analysis at Network Layer Level. Part I: FundamentalsEasyChair Preprint 523512 pages•Date: March 30, 2021AbstractTraffic streams, sources as well as aggregated traffic flows, often exhibit long-range-dependent (LRD) properties. This paper presents the theoretical foundations to justify that the behavior of traffic in a high-speed computer network can be modeled from a self-similar perspective by limiting its scope of analysis at the network layer, given that the most relevant properties of self-similar processes are consistent for use in the formulation of traffic models when performing this specific task. Keyphrases: Long Range Dependent, Network Layer, self-similarity, traffic flows, traffic models Download PDFOpen PDF in browser |
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