Published April 1, 2019
| Version v1
Journal article
Estimation of time characteristics of systems with network topology and stochastic processes of functioning
Creators
- 1. Voronezh State University, 1 Universitetskaya pl., Voronezh, 394018 (Russian Federation)
- 2. Voronezh State Technical University, 14 Moskovsky pr., Voronezh, 394026 (Russian Federation)
Description
The article describes the proposed approach to modeling stochastic processes of the boundary layer of complex systems with a network topology, based on the methods of queuing theory. Based on the developed models, algorithms for calculating the estimates of the main temporal characteristics of the functioning quality of the analyzed processes are built. To test the proposed models, methods and algorithms, a structure has been developed and a computational experiment has been conducted to assess the quality of service requirements in telecommunications networks of the NGN concept, which are a typical modern example of complex systems with network topology and stochastic processes of operation (data flow service). (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1203/1/012055Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1203
- Journal Issue
- 1
- Journal Page Range
- [10 p.]
- ISSN
- 1742-6596
Conference
- Title
- Current Problems
- Acronym
- International Conference on Applied Mathematics, Computational Science and Mechanics
- Dates
- 17-19 Dec 2018
- Place
- Voronezh (Russian Federation)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54057356
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; BOUNDARY LAYERS; COMPUTERIZED SIMULATION; STOCHASTIC PROCESSES; TOPOLOGY
- Descriptors DEC
- LAYERS; MATHEMATICAL LOGIC; MATHEMATICS; SIMULATION