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  • 1.
    Lindqvist, Johan
    Linköping University, Department of Computer and Information Science, Software and Systems.
    Edge Computing for Mixed Reality2019Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Mixed reality, or augmented reality, where the real and the virtual worlds are combined, has seen an increase in interest in recent years with the release of tools like Google ARCore and Apple ARkit. Edge computing, where the distributed computing resources are located near the end device at the edge of the network, is a paradigm that enables offloading of computing tasks with latency requirements to dedicated servers.

    This thesis studies how edge computing can be used to bring mixed reality capabilities to mobile end devices that lack native support for that. It presents a working prototype for delivering mixed reality, evaluates the different technologies in it in relation to stability, responsiveness and resource usage, and studies the requirements on the end and edge devices. The experimental evaluation revealed that transmission time is the most significant chunk of end-to-end latency for the developed application. Reducing that delay will have a significant impact on future deployments of such systems.

    The thesis also presents other bottlenecks and best practices found during the prototype’s development, and how to proceed from here.

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