OpenStack and Google Cloud performance comparison in Infrastructure as a Service model

TL;DR

This paper compares the performance of OpenStack and Google Cloud IaaS platforms by measuring instance launch times, task execution, and benchmarking their performance to inform infrastructure choices.

Contribution

It introduces a Python-based pipeline for systematic comparison of OpenStack and Google Cloud, providing new insights into their performance characteristics.

Findings

OpenStack and Google Cloud show different instance launch times.

Performance varies with the number of instances launched.

Benchmark results highlight key differences in instance efficiency.

Abstract

Cloud computing is becoming common, and the choice of proper infrastructure is essential. One of main issues is choosing between private and public clound, between commercial and non-commercial solutions. This paper aims to compare the parameters of OpenStack and Google Cloud systems. Both systems deliver a computing cloud service, enabling the user to use the infrastructure as a service (IaaS) model. We developed the pipeline using the Python programming language and its libraries, which enable communication with the aforementioned clouds. We measured various parameters of instances and task execution: instance launch and deletion times, and their dependence on the number of launched instances. Moreover, we used benchmark algorithms to check the instance performance. We analysed the results and the factors that contributed to them and provided conclusions, recommendations, and suggestions for further research based on the gathered data.