OpenNebula is a cloud platform that is used to manage the virtualization of resources. It belongs to the category of Infrastructure as a Service (IaaS) and allows users to create, deploy, monitor, and maintain virtual machines through its web interface. The IaaS is located in the cloud, which means that it can be accessed via the internet, making it available on any device. OpenNebula uses the Xen hypervisor to virtualize physical hardware resources. One way to get started with OpenNebula is by accessing their website using a web browser, where you will sign up for an account.
OpenNebula is used in some research fields to power distributed machine learning frameworks. Machine learning is an area of computer science that helps computers understand information. This area has been gaining importance for understanding data produced by sensors or cameras. Cloud computing can be very useful for this process because it allows researchers to distribute the computational requirements over multiple machines to reduce the time needed for computation. Previously, researchers would use clusters of machines to complete large amounts of computations. However, since the amount of computation increases year after year, this solution is not efficient anymore and researchers need better tools. The main advantage of using cloud computing in machine learning is the reduction in the costs of equipment and electricity consumption, allowing more research projects to be performed in a shorter period of time.
In summary, the cloud can help improve research in machine learning by reducing costs and providing easy access to computational resources.