Demo Abstract: Mexr: Mobile Edge Resource Management For Mixed Reality Applications

2017 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS)(2017)

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摘要
Mixed reality (MR) applications not only require low-latency and high-capacity networks to deliver sensor generated data and virtual holograms, but also demand highperformance computing capability to process data and prepare virtual holograms. Mobile edge computing emerges as a promising networking solution for mixed reality applications. In this demo, we design the MExR system which is a mobile edge resource management platform for mixed reality applications. In this platform, we design and implement the MExR algorithm that manages the traffic load in mobile edge networks and computing workload in edge and cloud servers. We emulate LTE and software-defined network (SDN) in NS-3, manage network performance with the Ryu SDN controller, and design a workload balancing algorithm based on the HAProxy. We develop a realtime MR application using Microsoft hololens and demonstrate the impact of the mobile edge resource management on the MR application. The MExR emulation platform allows the evaluation of various edge networking and computing resource management algorithms for mixed reality applications.
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关键词
mixed reality applications,high-capacity networks,virtual holograms,high-performance computing capability,Mobile edge computing,mobile edge resource management platform,mobile edge networks,computing workload,cloud servers,network performance,MExR emulation platform,computing resource management algorithms
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