  Creating and maintaining the Metaverse requires enormous resources that have
never been seen before, especially computing resources for intensive data
processing to support the Extended Reality, enormous storage resources, and
massive networking resources for maintaining ultra high-speed and low-latency
connections. Therefore, this work aims to propose a novel framework, namely
MetaSlicing, that can provide a highly effective and comprehensive solution in
managing and allocating different types of resources for Metaverse
applications. In particular, by observing that Metaverse applications may have
common functions, we first propose grouping applications into clusters, called
MetaInstances. In a MetaInstance, common functions can be shared among
applications. As such, the same resources can be used by multiple applications
simultaneously, thereby enhancing resource utilization dramatically.To address
the real-time characteristic and resource demand's dynamic and uncertainty in
the Metaverse, we develop an effective framework based on the semi-Markov
decision process and propose an intelligent admission control algorithm that
can maximize resource utilization and enhance the Quality-of-Service for
end-users. Extensive simulation results show that our proposed solution
outperforms the Greedy-based policies by up to 80% and 47% in terms of
long-term revenue for Metaverse providers and request acceptance probability,
respectively.
