Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing

Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing

The computing in the network (COIN) paradigm is a promising solution that leverages unused network resources to perform tasks to meet computation-demanding applications, such as the metaverse. In this vein, we consider the partial computation offloading problem in the metaverse for multiple subtasks...

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Bibliographic Details
Main Authors: Ibrahim Aliyu, Seungmin Oh, Namseok Ko, Tai-Won Um, Jinsul Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Computational offloading
deep reinforcement learning
game theory
in-network computing
metaverse
Online Access:https://ieeexplore.ieee.org/document/10366259/

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