Virtual Reality Benchmark for Edge Caching Systems

We introduce a Unity based benchmark for evaluating Virtual Reality (VR) delivery systems using edge-cloud caching. As VR applications and systems progress, the need to meet strict latency and Quality of Experience (QoE) requirements is increasingly evident. In the context of VR, traditional cloud architectures (e.g., remote AWS S3 for content delivery) often struggle to meet these demands, especially for users of the same application in different locations. With edge computing, resources are brought closer to users in efforts to reduce latency and improve QoEs. However, VR’s dynamic nature, with changing fields of view (FoVs) and user synchronization requirements, creates various challenges for edge caching. We address the lack of suitable benchmarks and propose a framework that simulates multiuser VR scenarios while logging users’ interaction with objects within their actual and predicted FoVs. The benchmark’s activity log can then be played back through an edge cache to assess the resulting QoEs. This tool fills a gap by supporting research in the optimization of edge caching (and other edge-cloud functions) for VR streaming.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00274
Citations
1
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
1.49
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article

Virtual Reality Benchmark for Edge Caching Systems

Nader Alfares, George Kesidis
1 citations
Caching and Content Delivery
1.49
article

Virtual Reality Benchmark for Edge Caching Systems

Nader Alfares, George Kesidis
article en
1 citations

Abstract

We introduce a Unity based benchmark for evaluating Virtual Reality (VR) delivery systems using edge-cloud caching. As VR applications and systems progress, the need to meet strict latency and Quality of Experience (QoE) requirements is increasingly evident. In the context of VR, traditional cloud architectures (e.g., remote AWS S3 for content delivery) often struggle to meet these demands, especially for users of the same application in different locations. With edge computing, resources are brought closer to users in efforts to reduce latency and improve QoEs. However, VR’s dynamic nature, with changing fields of view (FoVs) and user synchronization requirements, creates various challenges for edge caching. We address the lack of suitable benchmarks and propose a framework that simulates multiuser VR scenarios while logging users’ interaction with objects within their actual and predicted FoVs. The benchmark’s activity log can then be played back through an edge cache to assess the resulting QoEs. This tool fills a gap by supporting research in the optimization of edge caching (and other edge-cloud functions) for VR streaming.

Pennsylvania State University (US)
Openalex Percentile: Top 18%
Caching and Content Delivery
1.49
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