Informatics and Applications
2025, Volume 19, Issue 3, pp 36-45
MULTICOMMODITY FLOW MODEL FOR ANALYSIS PROJECTS OF COMMUNICATION NETWORK CAPACITY SCALING
- Yu. E. Malashenko
- I. A. Nazarova
- M. V. Kozlov
Abstract
The performance capabilities of a multiuser communication system under network capacity scaling is investigated. Within the framework of computational experiments, the impact of increasing edge capacities along flow paths is analyzed in terms of transmitting maximum flows. For each pair of communicating nodes, the value of maximum allowable internodal flow is determined independently under monopoly control modes. The obtained maximum flow values are used to construct and compare vectors of uniform internodal flows of all types that can be simultaneously transmitted through the network. The concept of a vector-response of the system to increasing edge capacities along transmission routes is introduced. For each reconstruction project option and for every pair of communicating nodes, the ratio of capacity increase to the growth of the maximum flow is calculated. The obtained values are reordered according to the max-min rule. Based on the vectors-response, a set of guaranteed estimates of the maximum possible changes in operational parameters is formed. The results of the computational experiments for networks with different structural characteristics are analyzed.
[+] References (14)
- Malashenko, Yu. E., and I. A. Nazarova. 2025. Garantirovannye otsenki pokazateley rabotosposobnosti mnogopol'zovatel'skoy seti pri povrezhdeniyakh [Guaranteed estimates of the multiuser network performance indicators in case of damage]. Informatika i ee Primeneniya - Inform. Appl. 19(1):16-24. doi: 10.14357/19922264250103. EDN: MYHICH.
- Pehterev, S. V., S. I. Makarenko, and A. A. Kovalsky. 2022. Opisatel'naya model' sistemy sputnikovoy svyazi Starlink [Descriptive model of Starlink satellite communication system]. Sistemy upravleniya, svyazi i bezopasnosti [Systems of Control, Communication and Security] 4:190- 255. doi: 10.24412/2410-9916-2022-4-190-255. EDN: QMOLDV.
- Malashenko, Yu. E., and I. A. Nazarova. 2024. Sravnitel'nyy analiz uzlovykh mul'tipotokov v mnogopol'zovatel'skoy setevoy sisteme [Analysis of node multiflows in a multiuser network system]. Informatika i ee Primeneniya - Inform. Appl. 18(1):40-45. doi: 10.14357/19922264240106. EDN: AKCMCQ.
- Malashenko, Yu. E., and I. A. Nazarova. 2023. Otsenki raspredeleniya resursov v mnogopol'zovatel'skoy seti pri ravnykh mezhuzlovykh nagruzkakh [Estimates of the resource distribution in the multiuser network with equal internodal loads]. Informatika i ee Primeneniya - Inform. Appl. 17(1):83-88. doi: 10.14357/19922264230111.EDN: BUKVGV.
- Danskin, J. M. 1970. The theory of Max-Min and its application to weapons allocation problems. Berlin: Springer- Verlag. 128 p. doi: 10.1007/978-3-642-46092-0.
- Germeyer, Yu. B. 1971. Vvedenie v teoriyu issledovaniya operatsiy [Introduction to operations research theory]. Moscow: Nauka. 383 p.
- Jensen, P. A., and J.W. Barnes. 1980. Network flow programming. New York, NY: Wiley. 408 p.
- Lotov, A. V., and I. I. Pospelova. 2008. Mnogokriterial'nye zadachi prinyatiya resheniy [Multicriteria decision making tasks]. Moscow: Maks Press. 197 p.
- Ogryczak, W, H. Luss, M. Pioro, D. Nace, and A. Tomaszewski. 2014. Fair optimization and networks: Asurvey. J. Appl. Math. 2014(1):612018.25p.doi: 10.1155/ 2014/612018.
- Sokolov, N. A. 2012. Zadachi planirovaniya setey elektrosvyazi [Tasks of telecommunications network planning]. St. Petersburg: Tekhnika svyazi. 432 p. EDN: RPYWOL.
- Beschastnyi, V.A., D. Yu. Ostrikova, S.Ya. Shorgin, D.A. Moltchanov, and Yu. V. Gaidamaka. 2022. Analiz plotnosti bazovykh stantsiy 5G NR dlya predostavleniya uslug virtual'noy i dopolnennoy real'nosti [Density analysis of mmWave NR deployments for delivering scalable AR/VR video services]. Informatika i ee Primeneniya - Inform. Appl. 16(2):102-108. doi: 10.14357/ 19922264220213. EDN: VPIRYN.
- Machnev, E.A., V. A. Beschastnyi, D. Yu. Ostrikova, Yu. V. Gaidamaka, and S. Ya. Shorgin. 2022. Ob optimal'nom raspolozhenii antenn dlya V2X-soedineniy v subteragertsevom diapazone [On the optimal antenna deployment for subterahertz V2X communications]. Informatika i ee Primeneniya - Inform. Appl. 16(4):42-50. doi: 10.14357/19922264220407. EDN: WFMJTI.
- Samoylov, A. K., A. A. Platonova, V. S. Shorgin, and Yu. V. Gaidamaka. 2023. K modelirovaniyu effektov obsluzhivaniya mnogoadresnogo trafika v setyakh 5G NR
[On modeling the effects of multicast traffic servicing in 5G NR networks]. Informatika i ee Primeneniya - Inform. Appl. 17(2):71-77. doi: 10.14357/19922264230210. EDN: SLMGZU.
- Cormen, T. H., C. I. Leiserson, R. L. Rivest, and C. Stein. 2009. Introduction to algorithms. 3rd ed. Cambridge, MA: The MIT Press. 1313 p.
[+] About this article
Title
MULTICOMMODITY FLOW MODEL FOR ANALYSIS PROJECTS OF COMMUNICATION NETWORK CAPACITY SCALING
Journal
Informatics and Applications
2025, Volume 19, Issue 3, pp 36-45
Cover Date
2025-10-10
DOI
10.14357/19922264250305
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
multicommodity model of the communication network; guaranteed estimate in case of network capacity scaling; maximum flow transmission routes
Authors
Yu. E. Malashenko  , I. A. Nazarova  , and M. V. Kozlov
Author Affiliations
 Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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