LAVEA: Latency-Aware Video Analytics on Edge Computing Platform
作者
Shanhe Yi,Zijiang Hao,Qingyang Zhang,Quan Zhang,Weisong Shi,Qun Li
标识
DOI:10.1109/icdcs.2017.182
摘要
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.