Optimizing Towards a Multi-Cloud Environment through Benchmarking Data Transfer Speeds in Amazon Web Services and Google Cloud
Vlad Bucur, Liviu Cristian Miclea · 2021
Performance of I/O operations and robustness in managing data is a cornerstone of any computing system. Cloud computing has enabled vast storage capacity. As the world of software engineering moves closer to a multi-cloud environment it becomes imperative to understand what the differences between cloud providers are at the most basic level of service offered: data transfer. This paper aims to provide an updated set of benchmarks, using commercially approved and scientifically accurate tools to generate a performance test suite that will highlight key differences, and similarities, between two of the largest commercial cloud providers available: Amazon and Google. The purpose of these tests is to show the viability of a multi-cloud environment specifically by highlighting differences in speed, computational power, software and hardware between cloud providers.