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Journal : INFORMAL: Informatics Journal

Analisis Performansi Dua Sistem Operasi Server CentOS 8 dan Oracle Linux 8 Menggunakan Metode Levene Dengan SysBench Gde Andrayuga Pramaditha Tenaya; I Dewa Putu Gede Wiyata Putra; Anak Agung Gde Ekayana; I Gusti Made Ngurah Desnanjaya; Anak Agung Gede Bagus Ariana
INFORMAL: Informatics Journal Vol 7 No 1 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i1.30172

Abstract

CentOS 8 is a popular operating system for servers, but will discontinue. The Oracle Linux 8 operating system was chosen as a replacement because this operating system has many similarities with CentOS 8 and is distributed by the same party, namely RHEL (Red Hat Enterprise Linux). This study aims to compare the stability of the two server operating systems, as well as provide a reference for operating system users to choose a server operating system. CPU and memory tests were performed using SysBench software with the same number of threads, which were then recorded and compared. Cacti software is also used to compare CPU and memory performance in real time. The results showed that Oracle Linux 8 and CentOS 8 are two operating systems with different variances, although the kernels used by both operating systems are the same. Oracle Linux 8 can serve clients faster than CentOS 8 with a difference of 0.26 seconds.
Restructuring Arsitektur Backend Aplikasi XYZ Berbasis Microservice Merta, I Kadek Priyana Adi; Andika, I Gede; Supartha, I Kadek Dwi Gandika; Ariana, Anak Agung Gede Bagus; Adnyana, I Gede
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.48699

Abstract

This research aimed to restructure the backend architecture of the XYZ application prototype using Microservice architecture. Load testing was conducted to compare the performance of the initial prototype backend and microservice architecture on response-time, throughput, and latency metrics. The restructuring method used was arranged in 4 stages with a total of 7 activities. In the first stage, system analysis was conducted on the XYZ application prototype. In the second stage, architecture decomposition, consisting of 3 activities, which were identifying system operations, identifying services using domain-driven design decomposition, and defining services and collaboration, was performed. In the third stage, database requirements analysis was performed on the microservice architecture that had been formed. In the fourth stage, the database design and microservice backend were implemented and tested using 3 different amounts of data, which were 56, 112, and 210, against 14 endpoints on both the prototype backend and the microservice backend. Based on the test results taken from the Apache JMeter Listener, it showed that the prototype backend showed superior performance in testing per endpoint, but in the overall test, the microservice backend showed better performance with a 2,4% faster response time, 1,8% higher throughput, and 2,4% lower latency. There is a pattern that shows the dominant microservice backend excels in tests with the last data, Data 210, in all metrics measured.