Titlebook: Distributed Computer and Communication Networks; 25th International C Vladimir M. Vishnevskiy,Konstantin E. Samouylov,Dm Conference proceed

顯赫的人

責(zé)怪

On Waiting Time Maxima in?Queues with?Exponential-Pareto Service Timestribution belongs to the subclass of subexponential distributions, that allows to apply known tail asymptotic for stationary waiting times via the equilibrium distribution of service times. We propose the expressions for the normalizing constants and derive the limiting distribution of waiting time

獨行者

Simulation of?Multimedia Traffic Delivery in?WLANd on wireless channel parameters, the number of wireless stations and inbound traffic intensity. The approach of performance modeling using a combination of analytical modeling and simulation is presented in this paper.

Cytokines

A Model for?5G Millimeter Wave Service Rate Abstractionchannel abstraction model that takes into account changes in total cell capacity over time and does not require complex simulation. We analyze the cell capacity, taking into account the 3GPP standards. Based on the obtained values, we propose a model based on the first-order autoregression method. T

Mercurial

exercise

Collision Provenance Using Decentralized Ledgerants in the swarm is little in consideration and research. A flying ad-hoc network might be a good solution if implemented on peer-to-peer basis, but the physical layer of the swarm by itself is not sufficient to ensure immutability, integrity, and validity of data within the swarm. Due to the lack

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A First-Priority Set of?Telepresence Services and?a?Model Network for?Research and?Educationto-end latency and reliability requirements are derived from analysis of ITU-T, 3GPP, ETSI standards and recommendations. The characteristics of a next-generation model network for research and education in the field of telepresence services are discussed. The model network is based on a DWDM core,

IST

FORGO

The Education Systems of Europenformation about the facts that are included in the multidimensional data cube. Classification schemes can be used when constructing metadata. The classification scheme corresponds to certain structural component of the observed phenomenon. The cell parameters are presented in the classification sch

CHOIR

Marko Palek?i?,Igor Radeka,Nenad Zekanovi?e in a digital image and, in general, in a digital video stream. Although, as a rule, it is possible to perform recognition from video clips, the learning process is usually performed on images. In this paper, an algorithm for classifying and recognizing objects using convolutional neural networks i