Self-similar Process

Self-similar Process

Self-similar processes are types of stochastic processes that exhibit the phenomenon of self-similarity. A self-similar phenomenon behaves the same when viewed at different degrees of magnification, or different scales on a dimension (space or time). Self-similar processes can sometimes be described using heavy-tailed distributions, also known as long-tailed distributions. Example of such processes include traffic processes such as packet inter-arrival times and burst lengths. Self-similar processes can exhibit long-range dependency.

Read more about Self-similar Process:  Overview, The Poisson Distribution, The Heavy-tail Distribution, Modelling Self-similar Traffic, Self-similar Stochastic Processes Modeled By Tweedie Distributions, Network Performance, See Also

Famous quotes containing the word process:

    The practice of S/M is the creation of pleasure.... And that’s why S/M is really a subculture. It’s a process of invention. S/M is the use of a strategic relationship as a source of pleasure.
    Michel Foucault (1926–1984)