Analisa Kinerja System Gluster FS pada Proxmox VE untuk Menyediakan High Availability
DOI:
https://doi.org/10.30812/matrik.v19i1.473Keywords:
Virtualisasi, Proxmox Virtual Environment, Storage Glusterfs, ClusterAbstract
Virtualization is used as a means to improve the scalability of existing hardware. Proxmox Virtual Environment (PVE) with hypervisor type based on open source. PVE can use Network Attached Storage as a network-based storage location in GlusterFS storage, which is a distributed file system. The research methodology uses Network Development Live Cycle (NDLC) which has 3 (three) stages, namely analysis, design, and simulation prototyping. The analysis phase is carried out by collecting data by means of literature study and data analysis. The design phase is carried out making the design of network systems and trials. At the simulation stage prototyping tests various scenarios and analyzes Read, Write and Re-Write tests. The system in PVE is integrated with GlusterFS storage made using two servers including the PVE 1 and PVE 2 servers. GlusterFS performance results show that the Read file capability is higher compared to Write, and Re-write in the measurement variations of 1mb, 10mb and 100mb files. In conclusion, GlusterFS can be clustered using the same node as PVE Cluster which can use GlusterFS as additional storage for PVE. GlusterFS also supports live migration features so that LXC or VM can do live migration from one node to another in an online state. The ability to write, re-write and read files on GlusterFS is also relatively stable in testing file size variations.
Downloads
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Hadi Santoso, Hilyah Magdalena, Helna Wardhana, Aplikasi Dynamic Cluster pada K-Means BerbasisWeb untuk Klasifikasi Data Industri Rumahan , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Prihandoko Prihandoko, Deny Jollyta, Gusrianty Gusrianty, Muhammad Siddik, Johan Johan, Cluster Validity for Optimizing Classification Model: Davies Bouldin Index – Random Forest Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Amir Ali, Klasterisasi Data Rekam Medis Pasien Menggunakan Metode K-Means Clustering di Rumah Sakit Anwar Medika Balong Bendo Sidoarjo , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 1 (2019)
- Inna Novianty, Walidatush Sholihah, Yudawan Aditama, Aplikasi Virtual Reality Atom Kimia di Seamolec , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Anas Syaifudin, Purwanto Purwanto, Heribertus Himawan, M. Arief Soeleman, Customer Segmentation with RFM Model using Fuzzy C-Means and Genetic Programming , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Muhammad Yusuf, Arizal Arizal, Ira Rosianal Hikmah, Implementation Cryptography and Access Control on IoT-Based Warehouse Inventory Management System , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
- Saiful Nur Arif, Muhammad Dahria, Sarjon Defit, Dicky Novriansyah, Ali Ikhwan, Implementation of Single Linked on Machine Learning for Clustering Student Scientific Fields , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
- Deny Jollyta, Prihandoko Prihandoko, Dadang Priyanto, Alyauma Hajjah, Yulvia Nora Marlim, Comparison of Distance Measurements Based on k-Numbers and Its Influence to Clustering , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Indradi Rahmatullah, Gibran Satya Nugraha, Arik Aranta, Feature Selection on Grouping Students Into Lab Specializations for the Final Project Using Fuzzy C-Means , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Yully Sofyah Waode, Anang Kurnia, Yenni Angraini, K-Means Optimization Algorithm to Improve Cluster Quality on Sparse Data , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 3 (2024)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Dyah Susilowati, Hairani Hairani, Indah Puji Lestari, Khairan Marzuki, Lalu Zazuli Azhar Mardedi, Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 2 (2022)
- Lalu Zazuli Azhar Mardedi, Khairan Marzuki, Rancang Bangun Jaringan Komputer LAN Berdasarkan Perbandingan Kinerja Routing Protokol EIGRP dan Routing Protokol OSPF , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Lalu Zazuli Azhar Mardedi, Khairan Marzuki, Network MEMBANGUN JARINGAN KOMPUTER LAN BERDASARKAN PERBANDINGAN KINERJA PROTOKOL ENHANCED INTERIOR GATEWAY ROUTING PROTOCOL (EIGRP) DENGAN PROTOKOL OPEN SHORTEST PATH FIRST (OSPF) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)