Open AccessEFFICIENCY OF COMPUTER NETWORKS WITH SDN IN THE CONDITIONS OF INCOMPLETE INFORMATION ON RELIABILITY
Author(s) -
O. P. Zinchenko,
Віктор Вишнівський,
Юлія Березовська,
Петер Седлачек
Publication year - 2021
Publication title -
sučasnì ìnformacìjnì sistemi
Language(s) - English
Resource type - Journals
ISSN - 2522-9052
DOI - 10.20998/2522-9052.2021.2.14
Subject(s) - reliability (semiconductor) , computer science , transmission (telecommunications) , process (computing) , network packet , variance (accounting) , complete information , a priori and a posteriori , data transmission , reliability engineering , computer network , data mining , telecommunications , engineering , economics , business , microeconomics , operating system , power (physics) , philosophy , physics , accounting , epistemology , quantum mechanics
The paper analyzes the effectiveness of computer networks with SDN in conditions of incomplete reliability information. In order to ensure the specified indicators of the reliability of the computer network, it is recommended to use their guaranteed estimates. To increase the level of security of information systems and introduce the concept of time reserve in the process of packet transmission, it is necessary to separate the functions of traffic transmission from management functions. This is the basic principle of SDN. When using SDN technology in computer networks, it is possible to enter a time reserve when transmitting messages. This makes it possible to more accurately determine the reliability. The evaluation of the data transmission system of the computer network takes into account the possibility of entering a time reserve and obtained the basic calculated ratios for reliability indicators in terms of incomplete information about their distribution laws. A priori information is limited by knowledge of the first initial moments of mathematical expectation and variance. These results are a justification for the structure of computer networks that are designed or upgraded. You can also use this information to build highly reliable networks or technical facilities that exist in a single implementation.