JICS

1. Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing

Seyha Ros, Prohim Tam, Seokhoon Kim, Vol. 23, No. 5, pp. 17-23, Oct. 2022

10.7472/jksii.2022.23.5.17
Keywords: Deep Reinforcement Learning, Network Slicing, Software-Defined Networking, Network Functions Virtualization, Edge Computing

2. A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks

Sa Math, Prohim Tam, Seokhoon Kim, Vol. 23, No. 2, pp. 1-7, Apr. 2022

10.7472/jksii.2022.23.2.1
Keywords: Internet of Things, Quality of Service, Machine Learning, Mobile Edge Computing, Software-Defined Networking

3. Deep Neural Network-Based Critical Packet Inspection for Improving Traffic Steering in Software-Defined IoT

Prohim Tam, Sa Math, Seokhoon Kim, Vol. 22, No. 6, pp. 1-8, Dec. 2021

10.7472/jksii.2021.22.6.1
Keywords: Deep Learning, Deep Packet Inspection, Network Functions Virtualization, Software-Defined Networking, Traffic Steering

4. Efficient Resource Slicing Scheme for Optimizing Federated Learning Communications in Software-Defined IoT Networks

Prohim Tam, Sa Math, Seokhoon Kim, Vol. 22, No. 5, pp. 27-33, Oct. 2021

10.7472/jksii.2021.22.5.27
Keywords: Deep Learning, Federated learning, Internet of Things, Network Functions Virtualization, Software-Defined Networking

5. UDP Flow Entry Management for Software-Defined Networking

Hanhimnara Choi, Syed Muhammad Raza, Moonseong Kim, Hyunseung Choo, Vol. 22, No. 2, pp. 11-17, Apr. 2021

10.7472/jksii.2021.22.2.11
Keywords: Software-Defined Networking, OpenFlow, Flow table management