18 citations · 21 across the 5 of their papers we have counts for
5 papers
Towards a Partial Computation offloading in In-networking Computing-Assisted MEC: A Digital Twin Approach
Ibrahim Aliyu, Awwal Arigi, Seungmin Oh +2
This paper addresses the problem of minimizing latency with partial computation offloading within Industrial Internet-of-Things (IoT) systems in in-network computing (COIN)-assiste…
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…
Graph neural network for in-network placement of real-time metaverse tasks in next-generation network
Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong +2
This study addresses the challenge of real-time metaverse applications by proposing an in-network placement and task-offloading solution for delay-constrained computing tasks in ne…
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…
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…