Self-Similar Traffic Analysis at Network Layer Level. Part II: Application

EasyChair Preprint no. 5252

Abstract

In previous work has been proposed, and theoretically confirmed, that the self-similar whit long-range dependence traffic flows may be limited to the network layer. In this paper applies this novel concept to the study of traffic recorded in an IEEE 802.3u network environment whit the aim to prove their validity as a simply and efficient tool for high-speed computer network traffic flows analysis.

Keyphrases: IEEE 802.3u computer network, Long Range Dependent, Network Layer, self-similarity, traffic flows, traffic models

@Booklet{EasyChair:5252,
  author = {Ginno Millán},
  title = {Self-Similar Traffic Analysis at Network Layer Level. Part II: Application},
  howpublished = {EasyChair Preprint no. 5252},

  year = {EasyChair, 2021}}