TY - GEN
T1 - Performance Analysis of AWS and GCP Cloud Providers
AU - Noviani, Erina Fika
AU - Kembara, Bayu
AU - Yudha Pratama, Bakti Anugrah
AU - Permata Sari, Dyah Ayu
AU - Shiddiqi, Ary Mazharuddin
AU - Santoso, Bagus Jati
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Amazon Web Service (AWS)
KW - Google Cloud Platform (GCP)
KW - JMeter
KW - cloud service
UR - http://www.scopus.com/inward/record.url?scp=85138358940&partnerID=8YFLogxK
U2 - 10.1109/CyberneticsCom55287.2022.9865484
DO - 10.1109/CyberneticsCom55287.2022.9865484
M3 - Conference contribution
AN - SCOPUS:85138358940
T3 - Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
SP - 236
EP - 241
BT - Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
Y2 - 16 June 2022 through 18 June 2022
ER -