Towards an Adaptive Multi-modal Traffic Analytics Framework at the Edge
Author
Abstract

The Internet of Things (IoT) requires distributed, large scale data collection via geographically distributed devices. While IoT devices typically send data to the cloud for processing, this is problematic for bandwidth constrained applications. Fog and edge computing (processing data near where it is gathered, and sending only results to the cloud) has become more popular, as it lowers network overhead and latency. Edge computing often uses devices with low computational capacity, therefore service frameworks and middleware are needed to efficiently compose services.

Year of Publication
2019
Conference Name
International Workshop on Pervasive Flow of Things
Date Published
03/2019
Publisher
IEEE
Conference Location
Kyoto, Japan
Attachments
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