Материалов:
1 005 012

Репозиториев:
30

Авторов:
761 409

По вашему запросу найдено документов: 29103

Страница 1 из 2911

ON PERFORMANCE ANALYSIS OF SDN NETWORK WITH CONTROLLER- BASED FIREWALL
Abaev P., Samouylov K.
by separating data and control planes. Herein network planning and traffic management are performed by software
SDN multi-controller networks with load balanced
Muthanna Ammar, Ateya A.A., Makolkina Maria, Vybornova Anastasia, Markova Ekaterina, Gogol Alexander, Koucheryavy Andrey
system. Employing single centralized controller for the SDN networks introduces many problems concerning
Chaotic salp swarm algorithm for SDN multi-controller networks
Ateya A.A., Muthanna A., Vybornova A., Algarni A.D., Abuarqoub A., Koucheryavy Y., Koucheryavy A.
for networks. However, with the increase in network capacity, a single controller of SDN has many limitations
On using finite state machines for optimization and testing of SDN controllers
Berriri, A., Kushik, Natalia G., Zeghlache, D.
On using finite state machines for optimization and testing of SDN controllers
Analysis of SDN Traffic using Full-scale Modeling
Usmanov O., Muthanna A., Paramonov A.
networks (SDN). This article describes the main provisions of the SDN concept, the task of investigating
Analysis and performance evaluation of SDN queue model
Muhizi S., Shamshin G., Muthanna A., Kirichek R., Vladyko A., Koucheryavy A.
In this paper, we present an Openflow-SDN based network visualization and performance evaluation
ВОПРОСЫ БЕЗОПАСНОСТИ SDN В ЦЕНТРЕ ОБРАБОТКИ ДАННЫХ
Аминев Д.А., Прокудин В.Н., Козырев Д.В., Киричек Р.В.
Программно-конфигурируемая SDN сеть - быстро растущий сектор рынка корпоративных сетей. SDN
Framework of QoS Management for Time Constraint Services with Requested Network Parameters based on SDN/NFV Infrastructure
Muthanna A., Volkov A., Khakimov A., Muhizi S., Kirichek R., Koucheryavy A.
to control and manage dynamic QoS for different IoT -based applications. As a result, using SDN
Machine learning in SDN
Volkov S.S., Kurochkin I.I.
. To match demand, SDN (Software-Defined Network) was proposed as a new architecture. Since SDN technology
SDN Load Prediction Algorithm Based on Artificial Intelligence
Volkov A., Proshutinskiy K., Adam A.B.M., Ateya A.A., Muthanna A., Koucheryavy A.
such as latency, jitter, RTT and bandwidth. The SDN-based technologies should be able to control and manage

Страница 1 из 2911

Фасеты

Новости проекта

Новости

Партнеры

КФУ
ТГУ
Elpub
СФУ
Webpublishers

Индексация

BASE
WorldCat
OpenAIRE
EDS
core