• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

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


Sa Math, Prohim Tam, Seokhoon Kim, Journal of Internet Computing and Services, Vol. 23, No. 2, pp. 1-7, Apr. 2022
10.7472/jksii.2022.23.2.1, Full Text:
Keywords: Internet of Things, Quality of Service, Machine Learning, Mobile Edge Computing, Software-Defined Networking

Abstract

Machine learning (ML) algorithms have been intended to seamlessly collaborate for enabling intelligent networking in terms of massive service differentiation, prediction, and provides high-accuracy recommendation systems. Mobile edge computing (MEC) servers are located close to the edge networks to overcome the responsibility for massive requests from user devices and perform local service offloading. Moreover, there are required lightweight methods for handling real-time Internet of Things (IoT) communication perspectives, especially for ultra-reliable low-latency communication (URLLC) and optimal resource utilization. To overcome the abovementioned issues, this paper proposed an intelligent scheme for traffic steering based on the integration of MEC and lightweight ML, namely support vector machine (SVM) for effectively routing for lightweight and resource constraint networks. The scheme provides dynamic resource handling for the real-time IoT user systems based on the awareness of obvious network statues. The system evaluations were conducted by utillizing computer software simulations, and the proposed approach is remarkably outperformed the conventional schemes in terms of significant QoS metrics, including communication latency, reliability, and communication throughput.


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Cite this article
[APA Style]
Sa Math, Prohim Tam, & Seokhoon Kim (2022). A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks. Journal of Internet Computing and Services, 23(2), 1-7. DOI: 10.7472/jksii.2022.23.2.1.

[IEEE Style]
S. Math, P. Tam and S. Kim, "A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks," Journal of Internet Computing and Services, vol. 23, no. 2, pp. 1-7, 2022. DOI: 10.7472/jksii.2022.23.2.1.

[ACM Style]
Sa Math, Prohim Tam, and Seokhoon Kim. 2022. A Lightweight Software-Defined Routing Scheme for 5G URLLC in Bottleneck Networks. Journal of Internet Computing and Services, 23, 2, (2022), 1-7. DOI: 10.7472/jksii.2022.23.2.1.