ANALYSIS OF WAYS FOR EXCHANGING DATA IN NETWORKS WITH PACKAGE COMMUTATION
DOI:
https://doi.org/10.15588/1607-3274-2018-4-19Keywords:
package, message, signature analysis, datagram channel, data transferAbstract
Context. The important problem of increasing the effectiveness of functioning telecommunication networks with packagecommutation is considered. Some ways are suggested for improving algorithmic tools for information exchange based on using
methods and means of diagnosing errors in packages with data transferred. The object of this investigation is the process of data
transfer and determining spoilt packages in messages.
Objective. The objective of this paper is to decrease the average relative time of package delivery and also to increase the
probability of faultless information transfer to user on the basis of modelling various data exchange protocols.
Method. A method is suggested for the synthesis of universal, fast-acting multi-channel devices designated for controlling and
diagnosing messages in data exchange networks with package commutation. Determining faulty packages is carried out based on
using cyclic codes and the signature analysis method, which allows creating simple and sufficiently effective devices for data control.
A comparative analysis of data exchange protocols is carried out based on using the method of probability-time graphs.
Results. There have been obtained recommendations as to effective using protocols for information exchange with respect to
usage conditions and characteristics of networks with package commutation.
Conclusions. In this research the formalization of information processing based on the signature analysis has been accomplished
and the method for the synthesis of multi-channel control devices with localizing errors in message packages has been improved. At
that, the approach to data exchange in networks with package commutation has been improved. A comparative analysis of the three
main scientific approaches that use cyclic error detecting codes has been carried out with the help of probability-time graphs.
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