Performance Analysis of AWS and GCP Cloud Providers

Erina Fika Noviani, Bayu Kembara, Bakti Anugrah Yudha Pratama, Dyah Ayu Permata Sari, Ary Mazharuddin Shiddiqi, Bagus Jati Santoso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Cloud servers are currently in high demand because of their low cost and wide range of service providers. Businesses use cloud servers because of their quick response times and ability to meet the needs of their customers. Users frequently require recommendations on which service provider best meets their needs. Using the Golang Framework (Gorilla Mux) and an SQLite database, we examine how powerful AWS and GCP are in CPU processing, latency, and throughput. This study aims to help users select a cloud provider based on their needs. JMeter is used to load tests to the APIs. Requests are sent to the API via the GET method and are saved as parameter query data in the SQLite database. We discovered that the success rate on AWS was higher than the success rate on GCP.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages236-241
Number of pages6
ISBN (Electronic)9781665497428
DOIs
Publication statusPublished - 2022
Event6th IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022 - Virtual, Malang, Indonesia
Duration: 16 Jun 202218 Jun 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022

Conference

Conference6th IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
Country/TerritoryIndonesia
CityVirtual, Malang
Period16/06/2218/06/22

Keywords

  • Amazon Web Service (AWS)
  • Google Cloud Platform (GCP)
  • JMeter
  • cloud service

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