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What are the cloud techniques that can be used in collaborative AR Apps using HoloLens and SMDs?

I need to know the best cloud computing methodologies that are supported by HoloLens for achieving low-latency. I research on AR applications that include HoloLens and Smartphones. with interaction between them. I need Information about Fog Computing, Mobile Edge Computing and Cloudlet support and any other extra frameworks or structures. It would be great if there are tutorials or papers in this field.

Answers

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    Regarding networking: The core Windows Universal APIs, say for cloud connectivity and networking, are available and supported.

    Regarding off-screen rendering: Holograms look best when updated at high frame-rates, so if you have to do off-thread rendering for very big data sets it is best to put it on a virtual bill-board or lower-resolution approximation of the model, and allow that lower res approximation to render as fast as possible (say 60Hz). In the case of complex fog, try calculating the bounding iso-surface, and then send down that surface mesh with a rendered texture over it. That way you'll get very low-latency shape, with fine texture details at whatever latency your network can achieve. It is unlikely you'll be able to stream at close to the frame rate that the HoloLens can run, so it's likely you'll see pops when streaming it, but if you keep it at a distance, blend between frames, update quickly, etc., it should look pretty convincing.
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