LAVEA: Latency-Aware Video Analytics on Edge Computing Platform
Shanhe Yi, Zijiang Hao, Qingyang Zhang, Quan Zhang, Weisong Shi, Qun Li · 2017
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.