When machine learning meets network management and orchestration in Edge-based networking paradigms

A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

A federated learning approach to routing in challenged sdn-enabled edge networks

A Sacco, F Esposito, G Marchetto - 2020 6th IEEE conference …, 2020 - ieeexplore.ieee.org
The edge computing paradigm allows computationally intensive tasks to be offloaded from
small devices to nearby (more) powerful servers, via an edge network. The intersection …

Special issue on artificial intelligence and machine learning for networking and communications

P Chemouil, P Hui, W Kellerer, Y Li… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Research in large-scale networking systems has been shaped and will continue to be
guided by specific characteristics of applications and the underlying platforms and …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

[HTML][HTML] A topical review on machine learning, software defined networking, internet of things applications: Research limitations and challenges

Imran, Z Ghaffar, A Alshahrani, M Fayaz, AM Alghamdi… - Electronics, 2021 - mdpi.com
In recent years, rapid development has been made to the Internet of Things communication
technologies, infrastructure, and physical resources management. These developments and …

Edge intelligence: concepts, architectures, applications, and future directions

J Mendez, K Bierzynski, MP Cuéllar… - ACM Transactions on …, 2022 - dl.acm.org
The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …

AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

A theoretical discussion and survey of network automation for IoT: Challenges and opportunity

ST Arzo, C Naiga, F Granelli, R Bassoli… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The introduction of the Internet of Things (IoT) and massive machine-type communications
has implied an increase in network size and complexity. In particular, there is already a huge …

AI meets SDN: A survey of artificial intelligent techniques applied to software-defined networks

Y Pathak, PVN Prashanth, A Tiwari - 6G Enabled Fog Computing in IoT …, 2023 - Springer
Due to the rising use of smart gadgets such as smartphones, smart watches, smart cars etc.,
data exchange over the Internet has surged exponentially in recent day [1]. Further, the …

Learning‐driven ubiquitous mobile edge computing:: Network management challenges for future generation Internet of Things

PK Donta, E Monteiro, CK Dehury… - International Journal of …, 2023 - dl.acm.org
Learning‐driven ubiquitous mobile edge computing: : Network management challenges for
future generation Internet of Things: International Journal of Network Management: Vol 33, No 5 …