Open AccessSimulation of data distribution between server stations using fuzzy technologies
Author(s) -
E. O. Vikulov,
O. V. Denisov,
V. A. Meshcheryakov,
Л. А. Денисова
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1441/1/012175
Subject(s) - computer science , server , upload , matlab , server farm , queueing theory , application server , queue , fuzzy logic , real time computing , distributed computing , data mining , client–server model , operating system , computer network , artificial intelligence
This article is about development and modeling of data distribution system through the server stations. An algorithm for selecting a server for downloading data based on fuzzy logic is proposed. A simulation model of a server complex created by MATLAB / Simulink / SimEvents software is presented. This model allows us to study the server complex as a system with discrete states based on the theory of queuing systems. Numerical experiments on the distribution of data among servers using different algorithms for selecting a server for user loading data were carried out. The advantage of the proposed approach to server selection based on fuzzy inference is shown. This advantage is expressed in reducing the length of queues in the system and increasing the number of serviced requests for data processing by servers.