Cloudmesh Compute

  • This project can also be taken as an independent study or as part of the Cloud Engineering class


In this project, you will be developing features related to completing and simplifying the compute interface to an existing cloud. You will also benchmark the clouds while comparing the computations on similar operating systems that are deployed on different clouds.

Each team member will need to work with two clouds, from which

  • the first cloud is OpenStack

  • the second cloud is one of AWS, Azure, Google

  • an alternative to the clouds can also be devstack, VirtualBox and docker (however the providers are not completed and may require more work)

Each team member must work on 1 + number of team members different clouds. Teams are limited to 2 team members. If a feature in the cloud is missing that needs to be there to support cloudmesh it is to be implemented.

Benchmarks must not only include the execution time of a program in the cloud, but also measure how much time it costs to manage basic functionality for

  • images

  • flavors

  • virtual machines

  • keys

  • security groups


Basic knowledge of python or a programming language as all programming is done in python. Python is easy to learn. Access to a cloud other than OpenStack. We will provide access to OpenStack.


easy: For clouds that are already implemented in cloudmesh this project is easy. We may require individual students to target more than 2 clouds. We will figure this out at the beginning of your project

moderate: For Google Cloud, the task is moderate as we need to improve the provider.

moderate: The virtual box provider is developed via vagrant and in principle works, but has not been worked on for a while. You will be in improving the provider in cloudmesh


  • Working benchmarks in form of reproducible pytests. Examples are included in cloudmesh-cloud

  • check-ins into GitHub by all team members. If only one team member checks in all other team members will not get credit.

  • Collaborate with all teams that do this project so we can get benchmarks for all clouds and compare the results not only within your team but all teams.