Conceptual bases for managing the processing and distribution of discrete flows in a multicommodity communication network. Part I. Hierarchical structure of the network and principles of sorting and distribution of flows

The article discusses methodological approaches to the construction of multicommodity hierarchical communication networks and identifies the main tasks of processing and distribution of discrete correspondence flows, which allow to create favorable conditions for reducing material, financial and labor costs in transport systems with further mechanization and automation of production. Multicommodity communication networks are characterized by the presence of a multitude of sources and drains of correspondence flows (products or requirements). Correspondence is understood as a pair of different network nodes, between which there is a directed (addressed) discrete flow of elements (for example, indivisible loads of uniform size, bits or symbols) of a given size. In a multicommodity network, all correspondence flows are subject to a one-time transfer from sources to drains. In general, a certain set of types (categories) of correspondence can be defined on the network, differing in weight, dimensions and other characteristics, but having common sources and drains. The hierarchical structure of the network and the principles of sorting, distribution and routing of flows are given.

Authors

Institutions

Publication Details

Journal
International Scientific Technical Journal Problems of Control and Informatics
Published
2025-04-25
DOI
https://doi.org/10.34229/1028-0979-2025-2-2
Primary Topic
Mathematical Control Systems and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conceptual bases for managing the processing and distribution of discrete flows in a multicommodity communication network. Part I. Hierarchical structure of the network and principles of sorting and distribution of flows

Oleksandr Trofymchuk, Volodymyr Vasyanin
International Scientific Technical Journal Problems of Control and Informatics
Mathematical Control Systems and Analysis
article

Conceptual bases for managing the processing and distribution of discrete flows in a multicommodity communication network. Part I. Hierarchical structure of the network and principles of sorting and distribution of flows

Oleksandr Trofymchuk, Volodymyr Vasyanin
article en

Abstract

The article discusses methodological approaches to the construction of multicommodity hierarchical communication networks and identifies the main tasks of processing and distribution of discrete correspondence flows, which allow to create favorable conditions for reducing material, financial and labor costs in transport systems with further mechanization and automation of production. Multicommodity communication networks are characterized by the presence of a multitude of sources and drains of correspondence flows (products or requirements). Correspondence is understood as a pair of different network nodes, between which there is a directed (addressed) discrete flow of elements (for example, indivisible loads of uniform size, bits or symbols) of a given size. In a multicommodity network, all correspondence flows are subject to a one-time transfer from sources to drains. In general, a certain set of types (categories) of correspondence can be defined on the network, differing in weight, dimensions and other characteristics, but having common sources and drains. The hierarchical structure of the network and the principles of sorting, distribution and routing of flows are given.

International Scientific Technical Journal Problems of Control and InformaticsVol. 70(2)
State University of Information and Communication Technologies (UA), Space Research Institute (UA)
Openalex Percentile: Top 96%
Mathematical Control Systems and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.