  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.
