Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing

• URL: http://arxiv.org/abs/2212.09295v1
• Date: Mon, 19 Dec 2022 08:29:38 GMT
• Title: Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing
• Authors: Terence Jie Chua, Wenhan Yu, Jun Zhao
• Abstract summary: The Metaverse brings forth many ecosystem services such as content creation, social entertainment, in-world value transfer, intelligent traffic, healthcare. Existing Metaverse edge computing approaches do not efficiently and effectively handle resource allocation. We introduce a new Metaverse-compatible, Unified, User and Task (UUT) centered artificial intelligence (AI)-based mobile edge computing (MEC) paradigm.
• Score: 8.513938423514636
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The Metaverse can be considered the extension of the present-day web, which integrates the physical and virtual worlds, delivering hyper-realistic user experiences. The inception of the Metaverse brings forth many ecosystem services such as content creation, social entertainment, in-world value transfer, intelligent traffic, healthcare. These services are compute-intensive and require computation offloading onto a Metaverse edge computing server (MECS). Existing Metaverse edge computing approaches do not efficiently and effectively handle resource allocation to ensure a fluid, seamless and hyper-realistic Metaverse experience required for Metaverse ecosystem services. Therefore, we introduce a new Metaverse-compatible, Unified, User and Task (UUT) centered artificial intelligence (AI)- based mobile edge computing (MEC) paradigm, which serves as a concept upon which future AI control algorithms could be built to develop a more user and task-focused MEC.

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