Energy Efficient AR/VR Edge Processing: Architecture and Optimization

This article introduces a server-centric cellular Passive Optical Network (C-PON) architecture to support the deployment of Augmented Reality (AR)/ Virtual Reality (VR) event viewing applications in edge data centers. The proposed architecture is compared with the state-of-the-art Spine-and-Leaf arc...

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Main Authors: Azza E. A. Eltraify, Randa A. Thabit, Opeyemi O. Ajibola, Wafaa B. M. Fadlelmula, Ahmed A. M. Hassan, Ahrar N. S. Hamad, Abdelrahman S. Elgamal, Walter Z. Ncube, Harith S. Ibrahim, Mariam Elmirghani, Sanaa Hamid Mohamed, Louise Krug, Greg Mcsorley, Jaafar M. H. Elmirghani
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10975805/
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Summary:This article introduces a server-centric cellular Passive Optical Network (C-PON) architecture to support the deployment of Augmented Reality (AR)/ Virtual Reality (VR) event viewing applications in edge data centers. The proposed architecture is compared with the state-of-the-art Spine-and-Leaf architecture. For fair comparison, we model production style environments based on both C-PON and Spine-and-leaf data center architectures. We developed a Mixed Integer Linear Programming (MILP) model with multi-objective function to optimize routing of AR/VR traffic on both C-PON and Spine-and-Leaf architectures. The multi-objective function considers minimizing power consumption and minimizing end-to-end delay within the network architectures. We compare hosting the AR/VR applications in C-PON and in Spine-and-Leaf in terms of the power consumption, the average delay in links, and the end-to-end delay per user. We also developed a heuristic algorithm to enhance the scalability enabling the optimization of complex and larger systems. The results show that C-PON can enable substantial savings in terms of power consumption compared to the state-of-the-art Spine-and-Leaf architecture.
ISSN:2169-3536