TY - GEN
T1 - Demo abstract
T2 - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
AU - Liu, Qiang
AU - Huang, Siqi
AU - Deng, Yang
AU - Han, Tao
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/20
Y1 - 2017/11/20
N2 - Mixed reality (MR) applications not only require low-latency and high-capacity networks to deliver sensor generated data and virtual holograms, but also demand high-performance 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 real-time 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.
AB - Mixed reality (MR) applications not only require low-latency and high-capacity networks to deliver sensor generated data and virtual holograms, but also demand high-performance 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 real-time 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.
UR - http://www.scopus.com/inward/record.url?scp=85041304697&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2017.8116523
DO - 10.1109/INFCOMW.2017.8116523
M3 - Conference Proceeding
AN - SCOPUS:85041304697
T3 - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
SP - 986
EP - 987
BT - 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 May 2017 through 4 May 2017
ER -