Carnegie Mellon University

Robert Boschgmbh

Nuno Pereira

Anthony Rowe

Edward Lu

Ivan Liang

Michael Farb

Eric Riebling

Michael Pressler

Tianshu Huang

Carlee Joe-Wong

A method for predicting resource usage for applications in a distributed system. The method includes: obtaining resource usage data, the resource usage data resulting from measuring the resource usage of different applications on different devices of the distributed system; detecting, by an orchestrator, a change and/or an event in the distributed system that requires a re-configuration of the distributed system; predicting, by the orchestrator, the resource usage of at least one application when deployed on one or different devices of the distributed system, the predicting being carried out based on the obtained resource usage data; initiating the required re-configuration based on the detecting and the predicting.

Method for predicting resource usage for applications in a distributed system

Some embodiments of the present inventive concept provide for improved telepresence and other virtual sessions using localized projection of audible noises and/or dynamic adjustment of audio and/or video qualities based on spatial relationships between users. An XR telepresence platform can allow for immersive multi-user video conferencing from within a web browser or other medium. The platform can support spatial audio and/or user video. The platform can scale to hundreds or thousands of users concurrently in a single or multiple virtual environments. Disclosed herein are quality-of-service techniques for dynamically selecting or modifying audio and/or video traffic.

Audio and video management for extended reality video conferencing

Some embodiments of the present inventive concept provide for improved telepresence and other virtual sessions dynamic scaling and/or assignment of computing resources. An XR telepresence platform can allow for immersive multi-user video conferencing from within a web browser or other medium. The platform can support spatial audio and/or user video. The platform can scale to hundreds or thousands of users concurrently in a single or multiple virtual environments. Disclosed herein are resource allocation techniques for dynamically allocating client connections across multiple servers.

Scalable extended reality video conferencing

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Pittsburgh, PA, United States of America

Nuno Pereira