Материалов:
1 005 012

Репозиториев:
30

Авторов:
761 409

По вашему запросу найдено документов: 84529

Страница 6 из 8453

On queuing system for analyzing virtual machine migration in cloud computing
Safargalieva A.I., Nokhurov M., Kochetkova I.A.
In the light of digitalization and the spread of cloud services, the issue of efficient use
Energy - Aware Offloading Algorithm for Multi-level Cloud Based 5G System
Ateya A.A., Muthanna A., Vybornova A., Darya P., Koucheryavy A.
clouds. Cellular networks are able to offer the cloud computing capabilities at the edge of the radio
Distributed method for crossmatching of astronomical catalogs based on apache spark platform
Glotov E., Gerasimov S., Meshcheryakov A.
-scalable algorithm for matching astronomical catalogs, based on Apache Spark, distributed computing platform
Intelligent system for digital substation control
Ostroukh A., Karelina M., Filippova N., Marusin A., Evtyukov S.
the collection, analysis, and visualization of data on products, systems, machines, and plants. The cloud
ON ANALYSIS OF FOG-CLOUD COMPUTING СHARACTERISTICS
Adamu A., Medvedeva E.G., Gaidamaka Yu.V.
' computation delay in Fog-Cloud Computing.
Distributed data fusion for the internet of things
Dautov R., Distefano S.
IoT devices. As a result, existing IoT systems, based on collecting data from a distributed network
Clouds and fog computing in the internet of things
Golubov, N., Голубов, Н. А.
In the article discusses the problems of cloud computing, an alternative solution in the form
Teaching Foreign Students Studying Graphic Disciplines in an Innovative Educational Environment
Timofeeva T.V., Kazennova N.V., Oskina G.N.
and computer graphics courses, implementation of the telecommunication learning resource system developed
Personalized Health Tracking with Edge Computing Technologies
Distefano S., Bruneo D., Longo F., Merlino G., Puliafito A.
, such as Internet of Things (IoT), Cloud, and Edge computing, could address. The solution proposed in this paper
Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading
Elgendy I.A., Muthanna A., Alshahrani A., Hassan D.S.M., Alkanhel R., Elkawkagy M.
Vehicular Edge-Cloud Computing (VECC) paradigm has emerged as a viable approach to overcome

Страница 6 из 8453

Фасеты

Новости проекта

Новости

Партнеры

КФУ
ТГУ
Elpub
СФУ
Webpublishers

Индексация

BASE
WorldCat
OpenAIRE
EDS
core