{"title":"High Availability Storage Server with Kubernetes","authors":"A. Khatami, Yudha Purwanto, M. F. Ruriawan","doi":"10.1109/ICITSI50517.2020.9264928","DOIUrl":null,"url":null,"abstract":"High availability server (HAS) is a concept in which the server resources continuously available through any interference of the virtual and physical server. HAS is widely used for various purposes such as online trading services, business and Big Data needs. To optimize storage, it needs a special way to minimize costs incurred and be able to optimize the existing server. This research has implemented a system of high availability server using Kubernetes and distributed storage. The system was capable of meeting the resource requests even though one instance was interrupted. And if an instance was down, the services stored in the cluster could still be accessed through other instances. Based on the reliability and availability testing, the system was capable of meeting the high availability criteria, by reaching an uptime rate of 100%.","PeriodicalId":286828,"journal":{"name":"2020 International Conference on Information Technology Systems and Innovation (ICITSI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Information Technology Systems and Innovation (ICITSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITSI50517.2020.9264928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
High availability server (HAS) is a concept in which the server resources continuously available through any interference of the virtual and physical server. HAS is widely used for various purposes such as online trading services, business and Big Data needs. To optimize storage, it needs a special way to minimize costs incurred and be able to optimize the existing server. This research has implemented a system of high availability server using Kubernetes and distributed storage. The system was capable of meeting the resource requests even though one instance was interrupted. And if an instance was down, the services stored in the cluster could still be accessed through other instances. Based on the reliability and availability testing, the system was capable of meeting the high availability criteria, by reaching an uptime rate of 100%.