Abstract
In an online meeting involving multiple users, the performance of the devices (e.g., personal computers, laptops, tablets, etc.) utilized by meeting attendees can vary drastically such that, when audio/video material is shared among the attendees, those attendees that are utilizing lower performance devices can experience resource shortages or choppiness in shared material, which can impact the expectations of the meeting attendees. In order to address such issues, meeting-based resource consumption intelligence techniques are described herein in which the resource consumption of devices utilized by participants involved in an online meeting can be monitored and balanced by porting workloads from a media sender's device to any combination of a data center service and/or one or more media receiver's devices.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tan, Jieyu; Li, Soya; and Berger, Espen, "MEETING-BASED RESOURCE CONSUMPTION INTELLIGENCE", Technical Disclosure Commons, (October 30, 2023)
https://www.tdcommons.org/dpubs_series/6368