Implementasi Multi Server Data Storage Pada Cloud Computing

The need of information that is always up-to-date and accessible anywhere and anytime is increasing now. It causes the need of cloud services in the form of high availability data storage. With high availability, it can reduce the occurrence of server failure. One way to improve the quality of the s...

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Main Authors: Jasnica Huang, Yuli Fitrisia, Muhammad Arif Fadhly Ridha
Format: Article
Language:Indonesian
Published: Politeknik Caltex Riau 2018-11-01
Series:Jurnal Komputer Terapan
Online Access:http:////jurnal.pcr.ac.id/index.php/jkt/article/view/2093
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author Jasnica Huang
Yuli Fitrisia
Muhammad Arif Fadhly Ridha
author_facet Jasnica Huang
Yuli Fitrisia
Muhammad Arif Fadhly Ridha
author_sort Jasnica Huang
collection DOAJ
description The need of information that is always up-to-date and accessible anywhere and anytime is increasing now. It causes the need of cloud services in the form of high availability data storage. With high availability, it can reduce the occurrence of server failure. One way to improve the quality of the service is to implement multi server data storage. The implementation needs some techniques such as data replication, load balancing and failover. Data replication uses GlusterFS, load balancing uses HAProxy and failover uses Heartbeat. The result of this research found that the average data successfully uploaded 84.5 % and downloaded 100% from data storage. The failover method obtained 66.67% an average success rate in making the switch even one of the server failed, then the spread of the request is split evenly 50:50 by load balancing. Meanwhile, server performance shows that service delays are categorized in "Very Good" and throughput is categorized in "Good". Keywords: data storage, high availability, data replication, load balancing,  failover
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spelling doaj.art-e9bbe2ae739643dcbbfb8f26509e22312022-12-22T00:44:51ZindPoliteknik Caltex RiauJurnal Komputer Terapan2443-41592460-52552018-11-0142192093Implementasi Multi Server Data Storage Pada Cloud ComputingJasnica Huang0Yuli FitrisiaMuhammad Arif Fadhly RidhaPoliteknik Caltex RiauThe need of information that is always up-to-date and accessible anywhere and anytime is increasing now. It causes the need of cloud services in the form of high availability data storage. With high availability, it can reduce the occurrence of server failure. One way to improve the quality of the service is to implement multi server data storage. The implementation needs some techniques such as data replication, load balancing and failover. Data replication uses GlusterFS, load balancing uses HAProxy and failover uses Heartbeat. The result of this research found that the average data successfully uploaded 84.5 % and downloaded 100% from data storage. The failover method obtained 66.67% an average success rate in making the switch even one of the server failed, then the spread of the request is split evenly 50:50 by load balancing. Meanwhile, server performance shows that service delays are categorized in "Very Good" and throughput is categorized in "Good". Keywords: data storage, high availability, data replication, load balancing,  failover//jurnal.pcr.ac.id/index.php/jkt/article/view/2093
spellingShingle Jasnica Huang
Yuli Fitrisia
Muhammad Arif Fadhly Ridha
Implementasi Multi Server Data Storage Pada Cloud Computing
Jurnal Komputer Terapan
title Implementasi Multi Server Data Storage Pada Cloud Computing
title_full Implementasi Multi Server Data Storage Pada Cloud Computing
title_fullStr Implementasi Multi Server Data Storage Pada Cloud Computing
title_full_unstemmed Implementasi Multi Server Data Storage Pada Cloud Computing
title_short Implementasi Multi Server Data Storage Pada Cloud Computing
title_sort implementasi multi server data storage pada cloud computing
url http:////jurnal.pcr.ac.id/index.php/jkt/article/view/2093
work_keys_str_mv AT jasnicahuang implementasimultiserverdatastoragepadacloudcomputing
AT yulifitrisia implementasimultiserverdatastoragepadacloudcomputing
AT muhammadariffadhlyridha implementasimultiserverdatastoragepadacloudcomputing