@INPROCEEDINGS{Okaf2410:EdgeVerse,
AUTHOR="Okwudilichukwu Okafor and Flavio Esposito and Tommaso Pecorella",
TITLE="{EdgeVerse:} {Multi-User} Virtual Reality via Edge Computing and {eBPF}",
BOOKTITLE="4th International Workshop on Analytics for Service and Application
Management (AnServApp) 2024 (AnServApp 2024)",
ADDRESS="Prague, Czech Republic",
PAGES=4,
DAYS=27,
MONTH=oct,
YEAR=2024,
KEYWORDS="Virtual Reality; network management; edge computing",
ABSTRACT="The adoption of Extended Reality (XR) technology has been hindered by the
need for high-bandwidth and low-latency networks to provide immersive
experiences.  Head-mounted devices used in XR are still heavy and not
portable, limiting the potential of XR applications in various contexts. In
this paper, we propose EdgeVerse, a multi-user XR system that leverages
edge computing and extended Berkeley Packet Filter (eBPF) to offload
computation, thereby reducing the dependency on high-bandwidth networks in
support of XR applications. Our approach enables lightweight clients, such
as devices with an edge browser, making XR more accessible to users. The
key design of EdgeVerse focuses on offloading the connection and network
synchronization of multiple XR users at the edge. We used an XDP
bidirectional router that processes XR traffic faster to enhance user
interaction, responsiveness, and immersive experience. To establish the
practicality of our approach, we evaluate our results on a prototype that
indicates improved response times and reduced latency with respect to
baseline solutions."
}