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The ability to benchmark a Virtual Machine is an important activity that more and more developers will need to perform as they host their SaaS applications in a cloud. The aim of this project is to integrate into the Rally project the ability to run easily and in an automated manner various benchmarks for measuring the performance of the deployed Virtual Machines of an OpenStack cloud.


The project can be divided in two parts. The first part has to do with the development of an architecture (some kind of framework) that defines a standard and easy way of porting different benchmarks to Rally, and in the second part, with the use of this framework, port existing popular benchmarks that are used to measure the performance of different aspects of a computer system.

For the first part, a new benchmark context (benchmark_image) is developed that generates an image that has installed all the required programs to run the specified benchmark. The context takes an image, a flavor and some other necessary information from the task configuration file of the benchmark scenario and boots a virtual machine. Then, using the already created users and their keypairs and security groups, it gains access to the virtual machine with SSH and executes the setup script of the specified benchmark. The setup script is a Bash script that installs the benchmark (and its dependencies) in the virtual machine. Finally, the context takes a snapshot of that virtual machine and returns the name of the newly created benchmark-ready image. Now the benchmark scenario uses the image that the context returned, in order to boot the virtual machine. It gains access to the virtual machine with SSH and executes the run script of the specified benchmark. The run script is a Python script that executes the benchmark and returns the results of it in JSON format.

For the second part, because of the architecture that was defined in the first part, there is only need to develop the setup script that installs the benchmark, and the run script that executes the benchmark and returns the result in JSON format. This will be done for every possible benchmark that needs to be ported to Rally in order to be executed in a virtual machine of an OpenStack cloud.

Source Code

All the code that was written during the official GSoC period for the development of this project.

Under Review


Example: Blogbench

This example demonstrates the execution of the benchmark Blogbench in a virtual machine of an OpenStack (version: Icehouse) cloud using Rally. Below you can find the output of the whole procedure with the logging level set to warning, and with the logging level set to debug.



In the end of both outputs, there is a table called "Scenario Specific Results" that shows the results of the benchmark that run in the virtual machine(s). In this example, it was set to execute the benchmark only once in a virtual machine, for this reason the maximum, average, minimum, 90 percentile, and 95 percentile share the same value. The Blogbench benchmark outputs one value that corresponds to the final score of reads from the disk, and to the final score of writes to the disk, that have been done during 5 minutes of running the benchmark (bigger the number, better the score).

Note: the `rally-tool -r` command that is executed in the beginning is not part of Rally but a helper script that I used during the development to test faster my work. What it actually does is to automate (with hard-coded values) the steps that are needed to run any Rally benchmark scenario on my test environment. You may find it here.