Details

Autor(en) / Beteiligte

• Shanhe Yi
• Zijiang Hao
• Qingyang Zhang
• Quan Zhang
• Weisong Shi
• Qun Li

Titel

LAVEA: Latency-Aware Video Analytics on Edge Computing Platform

Ist Teil von

• 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017, p.2573-2574

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore (IEEE/IET Electronic Library - IEL)

Beschreibungen/Notizen

• 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.