Deep q-networks based auto-scaling for service function chaining
Network function virtualization (NFV) is a key technology of the 5G network era. NFV
decouples a network function from proprietary hardware so that the network function can …
decouples a network function from proprietary hardware so that the network function can …
Deep Q‐network‐based auto scaling for service in a multi‐access edge computing environment
In 5G networks, it is necessary to provide services while meeting various service
requirements, such as high data rates and low latency, in response to dynamic network …
requirements, such as high data rates and low latency, in response to dynamic network …
Optimizing VNF Migration in B5G Core Networks: A Machine Learning Approach
BR Tanuboddi, G Gad, ZM Fadlullah… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an innovative networking paradigm that
fundamentally changes the way network management and operation are approached …
fundamentally changes the way network management and operation are approached …
Private Knowledge Sharing in Distributed Learning: A Survey
Y Supeksala, DC Nguyen, M Ding… - arXiv preprint arXiv …, 2024 - arxiv.org
The rise of Artificial Intelligence (AI) has revolutionized numerous industries and transformed
the way society operates. Its widespread use has led to the distribution of AI and its …
the way society operates. Its widespread use has led to the distribution of AI and its …
Overview of Artificial Intelligence and Machine Learning
N Zincir‐Heywood, M Mellia… - … Networks and Service …, 2021 - Wiley Online Library
Advances in artificial intelligence and machine learning (AI/ML) algorithms are not only the
fastest growing areas but also provide endless possibilities in many different science and …
fastest growing areas but also provide endless possibilities in many different science and …
Preemptive Prediction-Based Placement of Time-Critical SFCs With VNF Sharing at the Edge
A Mohamad, HS Hassanein - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
The demand for ultra-low latency requirements is fueled by the growing popularity of real-
time and time-critical applications such as virtual, augmented, and mixed reality, and …
time and time-critical applications such as virtual, augmented, and mixed reality, and …
Traffic Prediction-based VNF Auto-scaling and Deployment Mechanism for Flexible and Elastic Service Provision
B Yi, J Wang, Q He, X Wang, M Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Network Function Virtualization (NFV) provides a flexible way to provision new services by
decoupling network functions from hardware and implementing them as Virtual Network …
decoupling network functions from hardware and implementing them as Virtual Network …
Virtual machine failure prediction using log analysis
In this study, we propose a machine learning model that predicts failures by analyzing logs
before failures occur in virtual machines (VMs) used in network function virtualization (NFV) …
before failures occur in virtual machines (VMs) used in network function virtualization (NFV) …
A DDPG-based Zero-Touch Dynamic Prioritization to Address Starvation of Services for Deploying Microservices-based VNFs
The sixth generation of mobile networks (6G) promises applications and services with faster
data rates, ultra-reliability, and lower latency compared to the fifth-generation mobile …
data rates, ultra-reliability, and lower latency compared to the fifth-generation mobile …
Gru and edgeq-learning based traffic prediction and scaling of sfc
Services in today's network produce a heavy amount of traffic, and all this traffic might have
to pass through a Service Function Chain (SFC). The service provider must place these …
to pass through a Service Function Chain (SFC). The service provider must place these …