Discussion of the Analysis of Self-similar Teletraffic with Long-range Dependence (LRD) at the Network Layer Level | Zendy

Ginno Millán | Zendy; Héctor Kaschel | Zendy; Gastón Lefranc | Zendy

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Discussion of the Analysis of Self-similar Teletraffic with Long-range Dependence (LRD) at the Network Layer Level

Author(s) -

Ginno Millán,

Héctor Kaschel,

Gastón Lefranc

Publication year - 2010

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2010.5.2240

Subject(s) - computer science , limiting , computer network , perspective (graphical) , range (aeronautics) , scope (computer science) , traffic model , distributed computing , artificial intelligence , materials science , composite material , programming language , mechanical engineering , engineering

Traffic 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 to the network layer, since the most relevant properties of self-similar processes are consistent for use in the formulation of traffic models when performing this specific task.

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