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20232026
most citedDynamic Partial Computation Offloading for the Metaverse in In-Network Computing

18 citations · 27 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.DC2026

Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse

Ibrahim Aliyu, Seungmin Oh, Sangwon Oh +1

Advancements in extended reality (XR) are driving the development of the metaverse, which demands efficient real-time transformation of 2D scenes into 3D objects, a computation-int…

cs.DC2025

Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems

Sulaiman Muhammad Rashid, Ibrahim Aliyu, Jaehyung Park +1

The Metaverse promises immersive, real-time experiences; however, meeting its stringent latency and resource demands remains a major challenge. Conventional optimization techniques…

cs.DC2024★ 2 cited

Joint wireless and computing resource management with optimal slice selection in in-network-edge metaverse system

Sulaiman Muhammad Rashid, Ibrahim Aliyu, Abubakar Isah +4

This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice re…

cs.DC2024

Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing

Ibrahim Aliyu, Awwal M. Arigi, Tai-Won Um +1

This paper addresses the challenge of representing complex human action (HA) in a nuclear power plant (NPP) digital twin (DT) and minimizing latency in partial computation offloadi…

cs.DC2023★ 1 cited

Dynamic Redundancy-aware Blockchain-based Partial Computation Offloading for the Metaverse in In-network Computing

Ibrahim Aliyu, Cho-Rong Yu, Tai-Won Um +1

The computing in the network (COIN) paradigm has emerged as a potential solution for computation-intensive applications like the metaverse by utilizing unused network resources. Th…

cs.DC2023★ 18 cited

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

Ibrahim Aliyu, Seungmin Oh, Namseok Ko +2

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 th…