Larry Zhou, Jordan Lambert, Yanyan Zheng, Zheng Li, Alan Yen, Sandra Liu, Vivian Ye, Maggie Zhou, D. Mahar, J. Gibbons, M. Satterlee
{"title":"Distributed Scalable Edge Computing Infrastructure for Open Metaverse","authors":"Larry Zhou, Jordan Lambert, Yanyan Zheng, Zheng Li, Alan Yen, Sandra Liu, Vivian Ye, Maggie Zhou, D. Mahar, J. Gibbons, M. Satterlee","doi":"10.1109/CloudSummit57601.2023.00007","DOIUrl":null,"url":null,"abstract":"In order to create and distribute the immense computing power required for the Metaverse, the industry must make strategic investments. AT&T believes that networking and edge computing are among the most essential components of a successful Metaverse ecosystem. AT&T proposes an “end-toend distributed edge computing network infrastructure” using its innovative uCPE [1] Whitebox platform. This innovation includes GPU virtualization, low-latency graphic rendering at the edge, and real-time streaming of 3D immersive content to end users. The groundbreaking design leverages existing wireless/wired home networks to create an overlay network that offloads heavy computing from head-mounted displays (HMDs) to the edge uCPE and distributes the virtual computing power to every end user with high scalability and low costs. In addition, AT&T introduces hardware and software probes to proactively monitor the end-to-end network performance with fault detection and self-healing capabilities, optimizing network paths and providing an uninterrupted immersive experience to users.","PeriodicalId":185645,"journal":{"name":"2023 IEEE Cloud Summit","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Cloud Summit","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudSummit57601.2023.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to create and distribute the immense computing power required for the Metaverse, the industry must make strategic investments. AT&T believes that networking and edge computing are among the most essential components of a successful Metaverse ecosystem. AT&T proposes an “end-toend distributed edge computing network infrastructure” using its innovative uCPE [1] Whitebox platform. This innovation includes GPU virtualization, low-latency graphic rendering at the edge, and real-time streaming of 3D immersive content to end users. The groundbreaking design leverages existing wireless/wired home networks to create an overlay network that offloads heavy computing from head-mounted displays (HMDs) to the edge uCPE and distributes the virtual computing power to every end user with high scalability and low costs. In addition, AT&T introduces hardware and software probes to proactively monitor the end-to-end network performance with fault detection and self-healing capabilities, optimizing network paths and providing an uninterrupted immersive experience to users.