A P4-assisted task offloading scheme for Fog networks: An intelligent transportation system scenario

O Akyıldız, İ Kök, FY Okay, S Özdemir - Internet of Things, 2023 - Elsevier
Abstract In Fog-based Internet of Things (IoT) networks, Fog computing offers great promises
to achieve efficient task processing among IoT devices and the Cloud with lower processing …

Challenges and Solutions for hybrid SDN

E Rojas, R Amin, C Guerrero, M Savi, A Rastegarnia - Computer Networks, 2021 - Elsevier
Abstract This Editorial summarizes the Special Issue entitled Challenges and Solutions for
hybrid SDN (Chal. & sol. HSDN) published in Elsevier's Computer Networks during 2021 …

Edge-boost: Enhancing multimedia delivery with mobile edge caching in 5G-D2D networks

V Balasubramanian, M Wang… - … on multimedia and …, 2019 - ieeexplore.ieee.org
By moving computation and caching to the network edge, Mobile Edge Computing (MEC)
offloads core networks and shortens data access latencies, which is important for large scale …

An Intelligent Load Balancing Technique for Software Defined Networking based 5G using Macine Learning models

S Almakdi, A Aqdus, R Amin, MS Alshehri - IEEE Access, 2023 - ieeexplore.ieee.org
The emergence of two new technologies, namely software defined networking (SDN) and
5G networks, has greatly changed the development of network functions and network …

A novel content popularity prediction algorithm based on auto regressive model in information-centric IoT

Y Liu, T Zhi, H Xi, X Duan, H Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
As information-centric networking (ICN) cache can effectively reduce the requests from
customers to producers and improve the efficiency of content acquisition, there are many …

A fine-grained and dynamic scaling method for service function chains

D Zhai, X Meng, Z Yu, H Hu, X Han - Knowledge-Based Systems, 2021 - Elsevier
Network function virtualization (NFV) is a promising approach to solve network ossification,
which provides network services through virtual network function (VNF). However, the …

AI-assisted traffic matrix prediction using GA-enabled deep ensemble learning for hybrid SDN

R Etengu, SC Tan, TC Chuah, YL Lee… - Computer …, 2023 - Elsevier
A hybrid software-defined network (SDN), which is a network where traditional routers and
SDN protocols coexist during the incremental deployment of SDNs, requires real-time link …

On efficient service function chaining in hybrid software defined networks

C Ren, H Li, Y Li, Y Wang, H Xiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To minimize operating expenses (OPEX) and enhance flexibility for network service
provisioning, network function virtualization (NFV) is used to chain an ordered sequence of …

Learning self-adaptations for iot networks: A genetic programming approach

J Li, S Nejati, M Sabetzadeh - Proceedings of the 17th Symposium on …, 2022 - dl.acm.org
Internet of Things (IoT) is a pivotal technology in application domains that require
connectivity and interoperability between large numbers of devices. IoT systems …

Centrality based congestion detection using reinforcement learning approach for traffic engineering in hybrid SDN

DP Isravel, S Silas, EB Rajsingh - Journal of Network and Systems …, 2022 - Springer
The rising number of users and the demand for more diverse and specialized applications
have led to a tremendous increase in network traffic. Managing diverse traffic demands from …