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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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10975805/ |
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| author | 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 |
| author_facet | 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 |
| author_sort | Azza E. A. Eltraify |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f9c7cf78df7a44e4b84984e2053a6ee2 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f9c7cf78df7a44e4b84984e2053a6ee22025-08-20T02:32:16ZengIEEEIEEE Access2169-35362025-01-0113834268344910.1109/ACCESS.2025.356400910975805Energy Efficient AR/VR Edge Processing: Architecture and OptimizationAzza E. A. Eltraify0https://orcid.org/0009-0008-6758-6065Randa A. Thabit1https://orcid.org/0000-0002-6865-687XOpeyemi O. Ajibola2https://orcid.org/0000-0002-5268-4358Wafaa B. M. Fadlelmula3https://orcid.org/0009-0007-7701-5648Ahmed A. M. Hassan4https://orcid.org/0009-0001-5291-4184Ahrar N. S. Hamad5Abdelrahman S. Elgamal6Walter Z. Ncube7Harith S. Ibrahim8https://orcid.org/0009-0008-2204-7324Mariam Elmirghani9Sanaa Hamid Mohamed10https://orcid.org/0000-0002-6234-1906Louise Krug11Greg Mcsorley12https://orcid.org/0009-0005-0443-7124Jaafar M. H. Elmirghani13https://orcid.org/0000-0002-3319-9103Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.Department of Engineering, King’s College London, Strand, London, U.K.BT Laboratories, Adastral Park, Ipswich, U.K.BT Laboratories, Adastral Park, Ipswich, U.K.Ultracell Networks Ltd., Nexus, Discovery Way, Leeds, U.K.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.https://ieeexplore.ieee.org/document/10975805/Augmented reality (AR)virtual reality (VR)5Gpassive optical networks (PONs)spine-and-leafdata centers |
| spellingShingle | 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 Energy Efficient AR/VR Edge Processing: Architecture and Optimization IEEE Access Augmented reality (AR) virtual reality (VR) 5G passive optical networks (PONs) spine-and-leaf data centers |
| title | Energy Efficient AR/VR Edge Processing: Architecture and Optimization |
| title_full | Energy Efficient AR/VR Edge Processing: Architecture and Optimization |
| title_fullStr | Energy Efficient AR/VR Edge Processing: Architecture and Optimization |
| title_full_unstemmed | Energy Efficient AR/VR Edge Processing: Architecture and Optimization |
| title_short | Energy Efficient AR/VR Edge Processing: Architecture and Optimization |
| title_sort | energy efficient ar vr edge processing architecture and optimization |
| topic | Augmented reality (AR) virtual reality (VR) 5G passive optical networks (PONs) spine-and-leaf data centers |
| url | https://ieeexplore.ieee.org/document/10975805/ |
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