Paper Info
Title
An Edge Network Orchestrator for Mobile Augmented Reality.
Abstract
Mobile augmented reality (MAR) involves high complexity computation which cannot be performed efficiently on resource limited mobile devices. The performance of MAR would be significantly improved by offloading the computation tasks to servers deployed with the close proximity to the users. In this paper, we design an edge network orchestrator to enable fast and accurate object analytics at the network edge for MAR. The measurement-based analytical models are built to characterize the tradeoff between the service latency and analytics accuracy in edge-based MAR systems. As a key component of the edge network orchestrator, a server assignment and frame resolution selection algorithm named FACT is proposed to mitigate the latency-accuracy tradeoff. Through network simulations, we evaluate the performance of the FACT algorithm and show the insights on optimizing the performance of edge-based MAR systems. We have implemented the edge network orchestrator and developed the corresponding communication protocol. Our experiments validate the performance of the proposed edge network orchestrator.
Year
Venue
Keywords
2018
IEEE INFOCOM
Mobile augmented reality,edge network orchestration,Mobile edge computing
Field
DocType
ISSN
Computer science,Server,Selection algorithm,Enhanced Data Rates for GSM Evolution,Augmented reality,Edge device,Analytics,Communications protocol,Cloud computing,Distributed computing
Conference
0743-166X
Citations 
PageRank 
References 
1
0.34
0
Authors
4
Name
Order
Citations
PageRank
Qiang Liu1134.18
Siqi Huang233.08
Johnson Opadere331.74
Tao Han431426.51