Results 21 to 30 of about 8,285 (214)

Intelligent design of network multimedia using big data and virtual Artificial Intelligence technology

open access: yesIET Networks, EarlyView., 2023
The topic discussed was the intelligent design of network multimedia using BD and virtual AI technology. First of all, the authors gave a brief overview of its relevant research background, and then comprehensively analysed the advantages and disadvantages of previous scholars' research on network multimedia.
Xin Zhang
wiley   +1 more source

Availability-driven NFV orchestration [PDF]

open access: yesComputer Networks, 2019
Virtual Network Functions as a Service (VNFaaS) is a promising business whose technical directions consist of providing network functions as a Service instead of delivering standalone network appliances, leveraging a virtualized environment named NFV Infrastructure (NFVI) to provide higher scalability and reduce maintenance costs.
Casazza, Marco   +2 more
openaire   +2 more sources

Characteristics of Oxidative Storage Stability of Canola Fatty Acid Methyl Ester Stabilised with Antioxidants [PDF]

open access: yesITB Journal of Engineering Science, 2012
The storage effects on the oxidation characteristics of fatty acid methyl ester of canola oil (CME) were investigated in this study. CME stabilised with two antioxidants, i.e.
Tirto Prakoso   +4 more
doaj   +1 more source

Impact of NFV Resources Distribution on Inter-Subnetwork Latency [PDF]

open access: yesTelfor Journal, 2023
5G networks are already being implemented around the globe. One of the most important enablers of their penetration are the Software Defined Networking (SDN) technologies and the Network Functions Virtualization (NFV) architecture, which allow the needed
G. Ilievski, P. Latkoski
doaj   +1 more source

MERLINS – Moving Target Defense Enhanced with Deep-RL for NFV In-Depth Security [PDF]

open access: yes, 2023
Moving to a multi-cloud environment and service-based architecture, 5G and future 6G networks require additional defensive mechanisms to protect virtualized network resources.
Gür, Gürkan   +3 more
core   +3 more sources

Vertical Split Learning-Based Identification and Explainable Deep Learning-Based Localization of Failures in Multi-Domain NFV Systems [PDF]

open access: yes, 2023
Automated failure management in Network Function Virtualization (NFV) systems continues to gain significant attention as it allows identifying and mitigating failures in a timely manner, ensuring continuous and stable operation of services.
Ezzeddine, Fatima   +4 more
core   +1 more source

ДОСЛІДЖЕННЯ МЕТОДІВ БЕЗПЕЧНОЇ МАРШРУТИЗАЦІЇ У ПРОГРАМНО-КОНФІГУРОВАНИХ МЕРЕЖАХ

open access: yesВісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2023
У сучасному світі безпека мережі є ключовим питанням інформаційної безпеки. Віртуальні мережі стали невід’ємною частиною сучасної ІТ-інфраструктури, що ставить перед нами виклики у сфері безпеки.
Andrii Levterov   +4 more
doaj   +1 more source

Welcome from the NFV-SDN 2022 Chairs

open access: yes, 2022
The 2022 IEEE NFV-SDN conference has committed itself to be one accelerator of the continuous exchange on the latest ideas, developments and results between all ecosystem partners in the academia and industry areas. The conference is highly encouraged to
Tutschku, Kurt,   +4 more
core   +1 more source

Network Functions Virtualization: The Long Road to Commercial Deployments

open access: yesIEEE Access, 2019
Network operators are under pressure to offer efficient network-based services while keeping service deployment costs to a minimum. Network functions virtualization (NFV) can potentially revolutionize network-based services bringing low-deployment costs ...
A. U. Rehman   +2 more
doaj   +1 more source

Management and Evaluation of the Performance of end-to-end 5G Inter/Intra Slicing using Machine Learning in a Sustainable Environment

open access: yesJournal of Communications Software and Systems, 2023
The 3G Partnership Project (3GPP) defined network slicing as a set of resources that could be scaled up and down to cover users' requirements. Machine learning and network slicing will be used together to manage and optimize resources efficiently ...
Noor Abdalkarem Mohammedali   +3 more
doaj   +1 more source

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