[2307.15574] FleXR: A System Enabling Flexibly Distributed Extended Reality
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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2307.15574 (cs)
[Submitted on 28 Jul 2023]

Title:FleXR: A System Enabling Flexibly Distributed Extended Reality

Authors:Jin Heo, Ketan Bhardwaj, Ada Gavrilovska
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Abstract:Extended reality (XR) applications require computationally demanding functionalities with low end-to-end latency and high throughput. To enable XR on commodity devices, a number of distributed systems solutions enable offloading of XR workloads on remote servers. However, they make a priori decisions regarding the offloaded functionalities based on assumptions about operating factors, and their benefits are restricted to specific deployment contexts. To realize the benefits of offloading in various distributed environments, we present a distributed stream processing system, FleXR, which is specialized for real-time and interactive workloads and enables flexible distributions of XR functionalities. In building FleXR, we identified and resolved several issues of presenting XR functionalities as distributed pipelines. FleXR provides a framework for flexible distribution of XR pipelines while streamlining development and deployment phases. We evaluate FleXR with three XR use cases in four different distribution scenarios. In the results, the best-case distribution scenario shows up to 50% less end-to-end latency and 3.9x pipeline throughput compared to alternatives.
Comments: 11 pages, 11 figures, conference paper
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Multimedia (cs.MM)
Cite as: arXiv:2307.15574 [cs.DC]
  (or arXiv:2307.15574v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2307.15574
Journal reference: In Proceedings of the 14th Conference on ACM Multimedia Systems (pp. 1-13) June, 2023
Related DOI: https://doi.org/10.1145/3587819.3590966

Submission history

From: Jin Heo [view email]
[v1] Fri, 28 Jul 2023 14:14:31 UTC (3,215 KB)
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