LAVEA: Latency-Aware Video Analytics on Edge Computing Platform

We present LAVEA, a system built for edge computing, which offloads computation tasks between clients and edge nodes, collaborates nearby edge nodes, to provide low-latency video analytics at places closer to the users. We have utilized an edge-first design to minimize the response time, and compare...

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Bibliographic Details
Published inProceedings of the International Conference on Distributed Computing Systems pp. 2573 - 2574
Main Authors Shanhe Yi, Zijiang Hao, Qingyang Zhang, Quan Zhang, Weisong Shi, Qun Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2017
Subjects
Bandwidth
Cloud computing
Collaboration
computation offloading
Containers
Edge computing
fog computing
Servers
Time factors
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ISSN1063-6927
DOI10.1109/ICDCS.2017.182

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Summary:We present LAVEA, a system built for edge computing, which offloads computation tasks between clients and edge nodes, collaborates nearby edge nodes, to provide low-latency video analytics at places closer to the users. We have utilized an edge-first design to minimize the response time, and compared various task placement schemes tailed for inter-edge collaboration. Our results reveal that the client-edge configuration has task speedup against local or client-cloud configurations.
ISSN:1063-6927
DOI:10.1109/ICDCS.2017.182