Load-aware dynamic controller placement based on deep reinforcement learning in SDN-enabled mobile cloud-edge computing networks

C Xu, C Xu, B Li, S Li, T Li - Computer Networks, 2023 - Elsevier
Software-defined networks (SDNs) can improve network resource utilization and optimize
the performance of mobile cloud-edge computing networks (MECCNs) through unified and …

USAGE: Uncertain flow graph and spatio-temporal graph convolutional network-based saturation attack detection method

K Wang, Y Cui, Q Qian, Y Chen, C Guo… - Journal of Network and …, 2023 - Elsevier
With the development of Software-Defined Networking (SDN), its security problems have
attached interests from academia. The saturation attack targeted at the SDN switch is one of …

Comprehensive Analysis of DDoS Anomaly Detection in Software-Defined Networks

A Hirsi, MA Alhartomi, L Audah, A Salh… - IEEE …, 2025 - ieeexplore.ieee.org
Software-Defined Networking (SDN) offers significant advantages for modern networks,
including flexibility, centralized control, and reduced dependency on vendor-specific …

An Effective, Efficient and Scalable Link Discovery (EESLD) Framework for Hybrid Multi-controller SDN Networks

I Al Salti, N Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The emergence of Software-Defined Networking (SDN) has revolutionised network
management, offering improved flexibility, programmability, and scalability through the …

Performance Optimization Strategies for Big Data Applications in Distributed Framework

MW Hussain, DS Roy - … , Applications, and Future Directions, Volume 2, 2023 - Springer
The evolution and advancements in Information and Communication Technologies (ICT)
have enabled large scale distributed computing with a huge chunk of applications for …

[PDF][PDF] Centralized traffic engineering in SDN for 6G networks

MW Hussain - 2024 - researchgate.net
5G technology is regarded as the pioneer technology handling the massive increase in the
number of connections, however with higher frequency demands and greater transmission …

Healthcare and Its Applications in a Smart City

W Shafik - Healthcare-Driven Intelligent Computing Paradigms to …, 2024 - taylorfrancis.com
This chapter aims to examine the combination of medical care and its applications within a
smart city structure, stressing the use of modern technology and data-driven options to …

An In-Depth Analysis of Machine Learning and Artificial Intelligence Advancements in Healthcare for Smart Cities

SS Ray, N Tripathy, SS Tripathy… - … Computing Paradigms to …, 2024 - taylorfrancis.com
To effectively harness the growing urbanization, energy consumption as well as maintain a
green environment to improve the citizens' standard of living and develop their skills in using …

Traffic Management of SDN/NFV-Based Smart 5G Networks Using Time Series Analysis

DP Isravel, S Silas, EB Rajsingh - Handbook of Research on …, 2023 - igi-global.com
Traffic in the 5G network is growing exponentially and is predictable to grow in the future.
Providing a high quality of service with ever-increasing traffic volumes is challenging in 5G …

A Novel MistFog Federated Learning Model for Heart Disease Detection in Smart Healthcare

MW Hussain - … -Driven Intelligent Computing Paradigms to Secure …, 2024 - taylorfrancis.com
Healthcare has been regarded as the pivotal pillar for human prosperity and economic
growth which has shifted the focus onto smarter healthcare in smart cities. Despite several …