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Cutting Data for Cloud Gaming


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Streaming and cloud services has become a popular solution for many people as a means to access media they otherwise would not be able to, at least not at the same quality or quantity. One problem with streaming content though is running into data caps, especially if someone is using a cloud gaming service. Researchers at Duke University, however, have deployed a technique that can significantly cut the data transmitted, without degrading quality.

The tool the researchers developed is named Kahawai, the Hawaiian word for stream, and what makes it special is collaborative rendering. Typical cloud gaming services work by doing all of the rendering on the remote servers, with the local client only being for display and input. Collaborative rendering splits the workload between the server and the local device, which could be a smartphone or tablet. While the finer details will still be rendered by the remote server, the local device still renders a rougher view for each frame, or a few highly detailed frames with the remote server filling in as needed. Either way, by having the local device do part of the work, the same visual quality can be achieved while cutting bandwidth down to one-sixth what current methods allow.

Another advantage over traditional streaming methods is that Kahawai can work offline by just showing the lower quality graphics the local device renders. While gaming is a logical place to start applying Kahawai, the researchers see it finding uses in other fields, such as medical imaging and CAD.

 

 

Source: Duke University



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