Technological advances and the availability of cloud services have transformed the way academic researchers carry out their work. These cloud environments offer a series of tools and resources that speed up and facilitate research work.
One of the key benefits of the cloud is that researchers can save and manage large volumes of data from any location, fostering collaboration and information sharing across teams. In addition, these environments allow virtual machines to scale, accessing high-performance resources.
The cloud also offers the possibility of accessing specialized software and tools without the need for local installations. In this way, researchers can save the time and resources needed to purchase and maintain specific software, and devote all their efforts to research work.
In addition, the cloud allows the management of information in a secure manner. In cloud environments, data is usually very well protected, so researchers can rest assured that their work will not be lost or used by unauthorized personnel.
All this reflects how the cloud environment helps to improve efficiency and productivity in the field of research. However, accessing and managing the cloud is not always an easy task for academic professionals. On many occasions they need direct help from ICT services, slowing down the work of both parties.
Academic Software, a global leader in license management and implementation solutions in education, has listened to the needs of educational institutions to streamline cloud management in the best possible way. And they have presented a solution: Research Cloud, a tool that seeks to make researchers independent in the creation and management of cloud environments.
With Research Cloud, researchers will have access to virtual machines of different levels, all with a very easy-to-use interface. In addition, they will be able to create their own environments, dividing the work according to the task they have to perform and the virtual machine they need.
The tool also allows you to scale virtual machines that have been created to do simple calculations to other more powerful ones to do a calculation of greater complexity or duration and later downscale them again without losing data. We speak from standard servers to extremely powerful computers.
In addition, Research Cloud performs detailed reports and cost allocation by project and laboratory, generating clear budgets for all the agents involved. This will allow us to be efficient in spending, something fundamental when the budget is limited.
The biggest advantage of Research Cloud is that the tool allows researchers to be self-sufficient: they will be able to self-manage their workspace in the cloud, without the need for the IT department to intervene to help. In this way, they will acquire agility in their investigations and tasks.
Academic Software will always be behind, giving full support in creating the environments and machines that need to be created, as well as in everything related to the platform and its modules, such as reporting or consumption.
