Modeling Data Flows of a System for Analyzing Messages in Social Networks
Yana A. Bekeneva, Alexandr M. Lopushansliy, Alexandr I. Kulikov · 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) · 2022
There is a problem associated with an overabundance of information: users write hundreds of posts every day, leave thousands of comments, which makes it difficult to search, structure and analyze useful data. Especially in the case of creating a distributed network, it is also important to calculate the load on the network so that it works smoothly and as quickly as possible.This paper describes the creation of a system for modeling data flows of a message analysis system in social networks with the ability to change the composition and structure of a distributed network to estimate the amount of transmitted traffic with a different number of processing points for incoming data.