AWS和GCP云提供商的性能分析

Erina Fika Noviani, Bayu Kembara, Bakti Anugrah Yudha Pratama, Dyah Ayu Permata Sari, A. M. Shiddiqi, B. J. Santoso
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引用次数: 1

摘要

云服务器由于其低成本和广泛的服务提供商,目前需求量很大。企业使用云服务器是因为它们的快速响应时间和满足客户需求的能力。用户经常需要关于哪个服务提供商最能满足他们需求的建议。使用Golang框架(Gorilla Mux)和SQLite数据库,我们检查AWS和GCP在CPU处理、延迟和吞吐量方面有多强大。本研究旨在帮助用户根据自己的需求选择云提供商。JMeter用于将测试加载到api。请求通过GET方法发送到API,并作为参数查询数据保存在SQLite数据库中。我们发现AWS上的成功率高于GCP上的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of AWS and GCP Cloud Providers
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.
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