Decomposable Intelligence on Cloud-Edge IoT Framework for Live Video Analytics

With the rapid development of deep learning technology, the modern Internet-of-Things (IoT) cameras have very high demands on communication, computing, and memory resources so as to achieve low latency and high accuracy live video analytics. Thanks to the mobile-edge computing (MEC), intelligent off...

Full description

Saved in:
Bibliographic Details
Published in:IEEE internet of things journal 2020-09, Vol.7 (9), p.8860-8873
Main Authors: Zhang, Yi, Liu, Jiun-Hao, Wang, Chih-Yu, Wei, Hung-Yu
Format: Article
Language:English
Subjects:
Bandwidth
Benders decomposition
Cameras
Cloud computing
Edge computing
Intelligence
Internet of Things
Joint resource allocation
live video analytics
Machine learning
Mathematical analysis
Mobile computing
mobile-edge computing (MEC)
Nash bargaining
Network latency
Pipelines
Resource management
Streaming media
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the rapid development of deep learning technology, the modern Internet-of-Things (IoT) cameras have very high demands on communication, computing, and memory resources so as to achieve low latency and high accuracy live video analytics. Thanks to the mobile-edge computing (MEC), intelligent offloading to the MEC nodes can bring a lot of benefits, especially when the decomposable pipeline is adopted in the cloud-edge architecture. In this article, we provide decomposable intelligence on a cloud-edge IoT (DICE-IoT) framework to support joint latency- and accuracy-aware live video analytic services. Specifically, the intelligent framework enables the pipeline-sharing mechanism to reduce MEC resource usage. A Nash bargaining is proposed to incentivize cooperative computing provision between the MEC and the cloud, and a generalized benders decomposition (GBD)-based approach is utilized to optimize the social welfare. The results show that the proposed DICE-IoT framework can achieve a win-win-win solution to the IoT device, the MEC, and the cloud stratum.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2020.2997091