Markovian Arrival Processes - Poisson Process

Poisson Process

The Poisson arrival process or Poisson process counts the number of arrivals, each of which has an exponentially distributed time between arrival. In the most general case this can be represented by the rate matrix,


Q=\left[\begin{matrix}
-\lambda_{0}&\lambda_{0}&0&0&\dots\\
0&-\lambda_{1}&\lambda_{1}&0&\dots\\
0&0&-\lambda_{2}&\lambda_{2}&\dots\\
\vdots & \vdots & \ddots & \ddots & \ddots
\end{matrix}\right]\; .

In the homogeneous case this is more simply,


Q=\left[\begin{matrix}
-\lambda&\lambda&0&0&\dots\\
0&-\lambda&\lambda&0&\dots\\
0&0&-\lambda&\lambda&\dots\\
\vdots & \vdots & \ddots & \ddots & \ddots
\end{matrix}\right]\; .

Here every transition is marked.

Read more about this topic:  Markovian Arrival Processes

Famous quotes containing the word process:

    Language is a process of free creation; its laws and principles are fixed, but the manner in which the principles of generation are used is free and infinitely varied. Even the interpretation and use of words involves a process of free creation.
    Noam Chomsky (b. 1928)