A Proposal of Performance Enhancement of SEMAR IoT Server Platform Using Kubernetes

Noprianto Noprianto¹, Nobuo Funabiki¹, Htoo Htoo Sandi Kyaw¹, Komang Candra Brata¹, I Nyoman Darma Kotama¹, Yan Watequlis Syaifudin², Alfiandi Aulia Rahmadani²

1. ¹ Okayama University
2. ² Politeknik Negeri Malang

International Conference on Vocational Education and Electrical Engineering (ICVEE), 2025

Currently, we are developing SEMAR server platform for fast deployments of IoT application systems. However, when many requests simultaneously arrive to SEMAR, it can experience significant performance degradations. Kubernetes is an open-source container orchestration platform designed to manage distributed applications with the essential feature called Horizontal Pod Autoscaler (HPA). It enables dynamical resource adjustment based on resource utilization metrics. In this paper, we propose a performance enhancement of SEMAR using Kubernetes by allowing dynamical scaling pods during load surges and accelerating the recovery time of affected pods. To monitor resource metrics, we use JMeter for traffic loads and Prometheus and Grafana for RAM and CPU usage, as well as processing time in handling requests. In addition, pod downtime and recovery time are measured. The experiment results of the proposal confirmed improved performances with reliable recoveries from failures or disruptions.

DOI10.1109/icvee66651.2025.11281386Copy