On construction and performance evaluation of a virtual desktop infrastructure with GPU accelerated

CH Chang, CT Yang, JY Lee, CL Lai, CC Kuo - IEEE Access, 2020 - ieeexplore.ieee.org
More engaging and accessible solutions that offer outstanding user experience are needed.
The virtual desktop infrastructure (VDI) is the first user access part of the cloud. Therefore …

Latency-optimal virtual network functions resource allocation for 5g backhaul transport network slicing

W Li, Y Zi, L Feng, F Zhou, P Yu, X Qiu - Applied Sciences, 2019 - mdpi.com
The concept of network slicing (NS) has been proposed for flexible resource provisioning
where a physical resource is partitioned into logically independent networks on demand …

Mastering Neural Network Prediction for Enhanced System Reliability

J Baumgartner, A Schneider, U Zhenis… - Fusion of …, 2022 - fusionproceedings.com
Mastering neural network prediction is crucial for enhancing system reliability across various
fields, from healthcare to autonomous driving. Neural networks, with their ability to learn and …

KSN: Modeling and simulation of knowledge using machine learning in NFV/SDN-based networks

R Nikbazm, M Ahmadi - Simulation Modelling Practice and Theory, 2022 - Elsevier
The rapid advancement of networking and computing technologies has led to the
emergence of a wide range of diverse dynamic network services that present networks with …

Service function migration scheduling based on encoder-decoder recurrent neural network

T Hirayama, T Miyazawa, M Jibiki… - 2019 IEEE Conference …, 2019 - ieeexplore.ieee.org
Service function chaining (SFC) enables network operators to flexibly provide diverse
services such as Internet-of-Things (IoT) and mobile applications. SFC technologies are …

Robust virtual network function deployment against uncertain traffic arrival rates

F He, E Oki - 2021 IEEE 7th International Conference on …, 2021 - ieeexplore.ieee.org
Network function virtualization enables service providers to flexibly provision services with
virtual network functions. Traffic uncertainty typically exists in a network, which can degrade …

ML-based dynamic scaling and traffic forecasting for 5G O-RAN

K Ali, M Jammal - 2023 IEEE Intl Conf on Dependable …, 2023 - ieeexplore.ieee.org
In order to meet the stringent latency and reliability requirements of the upcoming 5G
networks, Open Radio Access Networks (O-RAN) has been proposed. The virtualization of O …

Joint rate-distortion optimization for simultaneous texture and deep feature compression of facial images

Y Li, C Jia, S Wang, X Zhang, S Wang… - 2018 IEEE fourth …, 2018 - ieeexplore.ieee.org
The explosion of surveillance cameras in smart cites and the increasing demand of low
latency visual analysis have pushed the horizon from the traditional image/video …

Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies

P Di Sanzo, DR Avresky… - Software: Practice and …, 2021 - Wiley Online Library
Failures in computer systems can be often tracked down to software anomalies of various
kinds. In many scenarios, it might be difficult, unfeasible, or unprofitable to carry out …

AI-Based Resource Allocation in E2E Network Slicing with Both Public and Non-Public Slices

Y Wang, N Liu, Z Pan, X You - Applied Sciences, 2023 - mdpi.com
Network slicing is a key technology for 5G networks, which divides the traditional physical
network into multiple independent logical networks to meet the diverse requirements of end …