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Microsoft Azure Dev Tools for Teaching or simply Azure Dev Tools for Teaching is a Microsoft program to provide students with Microsoft software design, Microsoft developer tools, Cloud Computing Access and learning resources. The program is available for university/college and K-12 students Azure for Student and Azure Dev Tools for teaching ...
Cloud computing sample architecture. Cloud architecture, [102] the systems architecture of the software systems involved in the delivery of cloud computing, typically involves multiple cloud components communicating with each other over a loose coupling mechanism such as a messaging queue. Elastic provision implies intelligence in the use of ...
Google Workspace (formerly G Suite) is a collection of cloud computing, productivity and collaboration tools, software and products developed and marketed by Google.It consists of Gmail, Contacts, Calendar, Meet and Chat for communication; Drive for storage; and the Google Docs Editors suite for content creation.
With funding help from the U.S. National Science Foundation, the cloud computing initiative provided assistance to hundreds of university scientists working on research projects. [3] By 2011, Google and IBM were completing the program since high-performance cloud computing clusters had become widely available to researchers at reasonable costs. [4]
Educational technology as back-office management, such as training management systems for logistics and budget management, and Learning Record Store (LRS) for learning data storage and analysis. Educational technology itself as an educational subject; such courses may be called "computer studies" or "information and communications technology ...
Google Cloud Platform is a part [7] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
The upcoming cloud-computing technologies can be used for new server-side simulation approaches. For instance, there are [example needed] multi-agent-simulation applications which are deployed on cloud-computing instances and act independently. This allows simulations to be highly scalable.
This is the equivalent to infrastructure and hardware in the traditional (non-cloud computing) method running in the cloud. In other words, businesses pay a fee (monthly or annually) to run virtual servers, networks, storage from the cloud. This will mitigate the need for a data center, heating, cooling, and maintaining hardware at the local level.
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