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: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| 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. |
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| ISSN: | 2169-3536 |