Browsing by Author "Nesterenko S."

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    INVERSE AND DIRECT MAXFLOW PROBLEM STUDY ON THE FREE-ORIENTED ST-PLANAR NETWORK GRAPH
    (Anhalt University of Applied Sciences, 2023) Тіхонов В. І.; Tikhonov V. I.; Нестеренко С.; Nesterenko S.; Тагер А.; Taher A.; Тіхонова О. В.; Tikhonova O.; Цира О. В.; Tsyra O.; Яворська О. М.; Yavorska O.; Шулакова К. С.; Shulakova K. S.
    The issues of data flow optimization in telecommunication networks are considered. The analyses of the problem state of art shows the primarily utilization of logistic Maxflow model on ST-planar directed network graph with predetermined fixed metric. Concluded, that conventional logistic Maxflow model is not adequate to modern telecoms with flexibly reconfigured channels. Introduced the concept of the free-oriented network graph as an enhanced math-model for digital flows simulation. The inverse and direct Maxflow tasks are formulated on the normalised free-oriented ST-planar network graph, and the properties of the graph obtained as functions of vertices number.The direct Maxflow task is studied in tensor form, and the algorithm of test-sequences generation for the inverse Maxflow task is constructed. The inverse Maxflow problem has been analyzed as a discrete optimization task on the Pontryagin maximum principle with two necessary extremum conditions. Related computation algorithm is built with polynomial complexity. Unlike the known approaches, proposed method is relevant to data flow optimization in the software defined networks with dynamically reconfigurable channels. Along with the maximal flow, the flow distribution over the network structure provided. The formalism of the direct Maxflow task can be used for testing the algorithms of inverse Maxflow task solutions, and generation the training sequences for machine learning in AI models.
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    MANAGEMENT OF DIGITAL STREAMS OF AN AUTONOMOUS SYSTEM BY THE RAW SOCKET ETHERNET CHANNEL VIRTUALIZATION METHOD IN LINUX OS
    (Anhalt University of Applied Sciences, 2023) Тіхонов В. І.; Tikhonov V.; Нестеренко С.; Nesterenko S.; Тихонова О. В.; Tikhonova O.; Цира О. В.; Tsyra O.; Яворська О. М.; Yavorska O.; Глущенко В.; Hlushchenko V.
    The issues of multimedia data transfer in packet-based networks have been considered in this work. Known approaches to digital streams management in autonomous systems studied with respect to the Internet of things traffic requirements and sensor networks real time telemetry provisioning. An original method of telecommunication channel virtualization presented based on Ethernet Raw Socket technique. An algorithm of digital flows integrating described for data multiplexing by conveyor transporting modules which payload the 802.3 Ethernet frame instead of conventional IP-packets. Computer model exhibited for simulation the process of joint multimedia data transmission via Ethernet frames in the form of four Python scripts under the Linux OS. Scripts SEND and RECEIVE implement the physical layer of Raw Socket interface. The scripts MUX and DEMUX perform multiplexing and de-multiplexing of integrated multimedia data on the data link layer. The results of the work intended for next generation networks application and Big Data distributed systems.