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Towards the Flexibility of Software for Computer Network Simulation
P. 391–397.
Abstract— This paper discusses network simulator TRIADNS. It is well known that the role of computer networks becomes more important due to progress in new computer technologies (distributed information systems, GRID-computing, Cloud computing and so on). So it is necessary to have effective and flexible program tools for computer network design and simulation. Indeed this program tools have to design computer networks with a lot of computer nodes, so simulation run must be time-consuming. Besides, it is necessary to study topological characteristics of computer network, to investigate traffic, to study computing node’s behavior, to test the designed protocols, to study the behavior of routing algorithms and how these algorithms will behave when computer network topology is changed (new nodes can be added to network, some nodes can fail and so on). Network simulator must design and investigate not only hardware, but software too, explore computer networks, considering in particular the specific characteristics of a variety of computer networks.This paper considers approaches allowing to decide these problems: hierarchical model, using ontologies and Data Mining methods for the analyses of simulation results.
In book
Vol. 1-2. , Santorini Island: CSCC, 2014.
Glushko A., Neznanov A., В кн.: Перспективные материалы и технологии (ПМТ-2024) : Сборник докладов Международной научно-технической конференции ИПТИП РТУ МИРЭА, Москва, 12–16 апреля 2024 годаТ. 1.: М.: РТУ МИРЭА, 2024. С. 380–385.
In this paper we would like to discuss the basic principles, design decisions and tools that formed the basis of a software system for analyzing the results of real experiments and performing computational experiments in chemistry and materials science. With this work we aim to formalize knowledge at multiple levels and improving the efficiency of ...
Added: April 29, 2026
Ramenskaya A., Бектемиров Р. Р., Корнейченко Е. Н., В кн.: Имитационное моделирование. Теория и практика (ИММОД 2025).: СПб.: АО "ЦТСС", 2025. С. 463–470.
Banks need to analyze the preferences and behavior of their customers for stability. The high value of the key rate has affected the deposit policy of banks. The purpose of the study is to develop simulation model of customer behavior in the regional bank deposit market. The paper proposes an agent-based simulation model describing the ...
Added: April 20, 2026
Sultanov R., Safin R., Martinez-Garcia E. et al., , in: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 1) ICINCO 2024.: SciTePress, 2024. P. 519–526.
Vision is one of the well-researched sensing abilities of robots. However, applying vision-based algorithms can be challenging when used in different environmental conditions. One such challenge in vision-based localization is dynamic lighting conditions. In this paper, we present a new Gazebo plugin that enables realistic illumination changes depending on a current Sun's position. A plugin's ...
Added: March 17, 2026
Gamberov T., Safin R., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 175–187.
The agricultural sector is undergoing a digital transformation due to modern automation, robotics, sensing, and simulation technologies. This research explores a use of digital human models (DHMs) in the Gazebo virtual environment to enhance agricultural workflows, improve human-robot interaction, and ensure safety. We propose a framework that models typical agricultural scenarios, such as field mapping, ...
Added: March 17, 2026
Петров К. А., Логос 2025 Т. 35 № 5 С. 93–114
The concept of “enactment” refers to the idea of the contingency of the body/technology boundary and as such it’s the basis for the emerging multiple ontologies of bodies in the Annemarie Mol’s texts. However, “enactment” does not mean the absolute malleability of the body. For authors working within the framework of actor-network theory the body ...
Added: November 18, 2025
Stepanyants V., Karpov A., Margaryan A. et al., FUTURE TRANSPORTATION 2025 Vol. 5 No. 4 Article 141
Nowadays, the problems of traffic accidents, inefficiency, and congestion still affect transportation systems. Conventional solutions often do not resolve and can even exacerbate the problems. Intelligent transportation system (ITS) technology, including intelligent vehicles, could provide a solution for these problems. However, such technologies should be thoroughly verified and validated before their large-scale adoption. Computer simulation ...
Added: October 17, 2025
Stepanyants V., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 982–986.
Transportation systems are complicated and deal with significant problems. With the pool of possible solutions being wide, extensive transportation planning has to be involved. However, planning based on expert opinions is significantly limited in terms of rapidity, accuracy, and confidence. Computer-aided design and automated decision-making systems are the next step to ensure transportation system development ...
Added: October 3, 2025
Zanko Georgii, MULTIDISCIPLINARY SCIENCE JOURNAL 2025 Vol. 8 No. 1 P. e2026126
Effective cash management remains a persistent challenge in dynamic economic landscapes, particularly under VUCA conditions. While traditional cash management models, including stochastic programming, have offered valuable insights, their limitations in capturing rapid changes and unknown uncertainties are becoming increasingly apparent. This paper addresses this gap by conducting a comparative analysis between a Stochastic Goal Programming ...
Added: September 12, 2025
Ivanov D., Rozhkov M., , in: Handbook of Ripple Effects in the Supply Chain.: Springer, 2025. Ch. 11 P. 215–247.
We study capacity disruption and recovery policy impacts on supply chain (SC) performance. Discrete event simulation methodology is used for analysis with real company data and real disruptions. Two novel findings are shown. First, disruption-driven changes in SC behaviour may result in backlog and delayed orders, the accumulation of which in the post-disruption period we ...
Added: May 15, 2025
Anna Volodkevich, Ivanova V., Vasilev A. et al., , in: Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part IV.: Springer, 2025. P. 425–430.
Simulators for recommender systems are widely used for recommender systems performance evaluation and feedback loop effects analysis. Existing simulators often propose inflexible pipelines, are focused on narrow research tasks, or are not adapted to work with industrial large data volumes. To address these challenges, we developed the Sim4Rec simulation framework. The Sim4Rec models key aspects ...
Added: April 10, 2025
Rozhkov M., Alyamovskaya N., Zakhodiakin G., International Journal of Production Research 2025 Vol. 63 No. 18 P. 6630–6647
This article investigates the application of reinforcement learning (RL) methods to optimise a four-echelon linear supply chain model with stochastic demand. The proposed supply chain configuration is largely based on the production-distribution supply chain of the MIT Supply Chain Beer Game. We show that RL can significantly improve ordering efficiency and overall supply chain performance. ...
Added: March 24, 2025
Cham: Springer, 2022.
This book constitutes revised selected papers from the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. Due to the COVID-19 pandemic the conference was held online.
The 31 full papers along with the 4 short papers were carefully reviewed and selected from 151 submissions. The ...
Added: March 20, 2025
Sulaiman S., Eryomin A., Pillai A. et al., , in: 2024 4th International Conference on Computer, Control and Robotics (ICCCR).: IEEE, 2024. P. 300–304.
Manipulators are used extensively in industrial and service sectors due to their capability to carry out a task effectively. This paper presents a kinematic modelling, a workspace analysis, a static structural analysis and a simulation study of a simple 3 degrees-of-freedom (DoF) Cartesian manipulator developed for pressing buttons of an elevator. Denavit-Hartenberg approach was used ...
Added: February 19, 2025
Sulaiman S., Eryomin A., Tsoy T. et al., , in: 2024 IEEE 7th Eurasian Conference on Educational Innovation (ECEI).: IEEE, 2024. P. 410–413.
Intelligent robots are employed in a wide variety of sectors due to their capability to carry out a task autonomously. As a response for a growing importance of intelligent robots, a new master program in intelligent robotics was introduced by Kazan Federal University, Russia in 2017. It was created by analysing curricula of top robotics ...
Added: February 19, 2025
Мустафина Н. И., Plaksin M. A., В кн.: BIG DATA и анализ высокого уровня = BIG DATA and Advanced Analytics : сборник научных статей X Международной научно-практической конференции в двух частях, Часть 1 (Республика Беларусь, Минск, 13 марта 2024 года).: Мн.: БГУИР, 2024. С. 457–469.
Added: February 18, 2025
IEEE, 2024.
Added: December 12, 2024
Cham: Springer, 2024.
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. ...
Added: November 22, 2024
Rodriges Zalipynis R. A., St. Petersburg: Naukoemkie Technologii, 2024.
Computer Networks are ubiquitous in the modern IT sector. Computer Networks are veins of DBMSs, Web & Mobile Applications, Distributed Systems, and many other software products. A good understanding of the underlying networking principles facilitates building more reliable and efficient software products. This makes this Computer Networks Course Syllabus (Curriculum) highly beneficial for educating future ...
Added: September 14, 2024
Petrosyants K. O., Kharitonov I. A., Силкин Д. С. et al., Наноиндустрия 2024 Т. 17 № S10-1(128) С. 302–312
The paper considers qualitative estimations of CMOS SRAM Cells sensitivity to SEU performed for technological nodes varying from 90 nm up to 28 nm using verified TCAD-SPICE software tools and models. The process and results of simulations have been presented. The estimations of CMOS SRAM cells hardness to SEU have been confirmed using SRAM measurement ...
Added: September 3, 2024
Springer, 2024.
This book constitutes the refereed proceedings of the 16th International Conference on Social Computing and Social Media, SCSM 2024, held as part of the 26th HCI International Conference, HCII 2024, which took place in Washington, DC, USA, during June 29–July 4, 2024.
The total of 1271 papers and 309 posters included in the HCII 2024 proceedings ...
Added: June 3, 2024
Gazizov R., Gazizov R. R., Gazizova E. E., , in: 2019 International Siberian Conference on Control and Communications (SIBCON). Proceedings.: Tomsk: Tomsk State University of Control Systems and Radioelectronics (TUSUR), 2019. P. 1–4.
The simulation of the ultrashort pulse propagation along the conductors of the microstrip C-section has been carried out when the losses in conductors and dielectric were taken into account and without them. The voltage extreme points have been obtained with using of 7 values of the half-turn length. The highest voltage maximum exceeds the amplitude ...
Added: May 17, 2024
Shanghai: IEEE Computer Society, 2023.
The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, ...
Added: March 20, 2024
D'yakonov A., Головина А. М., Прикладная математика и информатика 2023 Т. 61 № 74 С. 91–108
A methodology for finding patterns by solving machine learning problems with a teacher is described and applied to the analysis of national victimization survey data. Important features for machine learning models, interesting patterns and inconsistencies in the data are found. Experiments on estimating feature importance using different methods are described. ...
Added: March 18, 2024