Abstract

Modern telecommunication networks work on the transmission method of common data streams in which data bursts consisting of packets that further consist of particular bits are multiplexed from various traffic sources. The larger amount of data is transmitted through a transmission medium (optical fibre), the more frequently bursts occur, and the lower amount of data, the more rarely they follow. If it is required to monitor how large amount of data is being transmitted in a network branch in order to find out, to which measure of this branch is occupied, it is not necessary to take each information unit (each packet or even each particular bit). It will do if information whether a data burst occurs in the transmission or does it not occur is taken in certain time intervals – with a certain sampling frequency. The paper deals with this sampling intervals.

Highlights

  • There are many types of data bursts on a transmission route between two network nodes from various traffic sources

  • Modern telecommunication networks work on the transmission method of common data streams in which data bursts consisting of packets that further consist of particular bits are multiplexed from various traffic sources

  • It will do if information whether a data burst occurs in the transmission or does it not occur is taken in certain time intervals – with a certain sampling frequency

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Summary

Introduction

There are many types of data bursts on a transmission route between two network nodes from various traffic sources. The data burst length is considered as a random variable. Expresses the average traffic use of a communication channel, e.g. with which part of the total time T theoretically infinitely long the channel was occupied by the transmitted data bursts. The value y expresses the probability that the communication channel will be in any moment of sampling tv found as occupied. Let l be the count of seizures of the communication channel by the transmitted data bursts and m the count of releases of the communication channel during a time unit. The inverse value of m å J. is the average burst length

Random Process Characteristics
Sampling Frequency
Analysis of Results
Practical Application
Full Text
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