Self-learning multi-objective service coordination using deep reinforcement learning
S Schneider, R Khalili, A Manzoor… - … on Network and …, 2021 - ieeexplore.ieee.org
Modern services consist of interconnected components, eg, microservices in a service mesh
or machine learning functions in a pipeline. These services can scale and run across …
or machine learning functions in a pipeline. These services can scale and run across …
Machine-Learning-Based Traffic Classification in Software-Defined Networks
Many research efforts have gone into upgrading antiquated communication network
infrastructures with better ones to support contemporary services and applications. Smart …
infrastructures with better ones to support contemporary services and applications. Smart …
SoftDrone: Softwarized 5G assisted drone networks for dynamic resource sharing using machine learning techniques
The concept of a programmable network instantiates dedicated network slices for
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Comparison of machine learning techniques for VNF resource requirements prediction in NFV
The network function virtualization (NFV) is a developing architecture that uses virtualization
technology to separate software from hardware. One of the most important challenges of …
technology to separate software from hardware. One of the most important challenges of …
Drive: Dynamic resource introspection and vnf embedding for 5g using machine learning
The network slicing (NS) technique is comprehensively reshaping the next-generation
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …
Autonomous intelligent VNF profiling for future intelligent network orchestration
In this article, we propose a profile-based data-driven analysis framework to extract and
analyze the characteristics and behavior of virtualized network functions (VNFs) in …
analyze the characteristics and behavior of virtualized network functions (VNFs) in …
Intelligent performance prediction: the use case of a Hadoop cluster
The optimum utilization of infrastructural resources is a highly desired yet cumbersome task
for service providers to achieve. This is because the optimal amount of such resources is a …
for service providers to achieve. This is because the optimal amount of such resources is a …
Distributed online service coordination using deep reinforcement learning
Services often consist of multiple chained components such as microservices in a service
mesh, or machine learning functions in a pipeline. Providing these services requires online …
mesh, or machine learning functions in a pipeline. Providing these services requires online …
[HTML][HTML] Performance characterization and profiling of chained CPU-bound Virtual Network Functions
The increased demand for high-quality Internet connectivity resulting from the growing
number of connected devices and advanced services has put significant strain on …
number of connected devices and advanced services has put significant strain on …
[HTML][HTML] An intelligent scheduling for 5G user plane function placement and chaining reconfiguration
I Leyva-Pupo, C Cervelló-Pastor - Computer Networks, 2023 - Elsevier
Services and use cases in 5G and beyond networks are characterized by strict requirements
such as ultra-low latency, increased capacity, and high user mobility. Moreover, these …
such as ultra-low latency, increased capacity, and high user mobility. Moreover, these …