Edge Analytics in the Internet of Things

High-data-rate sensors, such as video cameras, are becoming ubiquitous in the Internet of Things. This article describes GigaSight, an Internet-scale repository of crowd-sourced video content, with strong enforcement of privacy preferences and access controls. The GigaSight architecture is a federat...

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Bibliographic Details
Published in:IEEE pervasive computing 2015-04, Vol.14 (2), p.24-31
Main Authors: Satyanarayanan, Mahadev, Simoens, Pieter, Yu Xiao, Pillai, Padmanabhan, Zhuo Chen, Kiryong Ha, Wenlu Hu, Amos, Brandon
Format: Article
Language:English
Subjects:
Access control
Architecture (computers)
big data
Cameras
cloud
Cloud computing
Computer architecture
Decoding
Indexing
Intelligent sensors
Internet
Internet of things
mobile
networking
pervasive computing
Preserves
Privacy
Repositories
Streaming media
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Summary:High-data-rate sensors, such as video cameras, are becoming ubiquitous in the Internet of Things. This article describes GigaSight, an Internet-scale repository of crowd-sourced video content, with strong enforcement of privacy preferences and access controls. The GigaSight architecture is a federated system of VM-based cloudlets that perform video analytics at the edge of the Internet, thus reducing the demand for ingress bandwidth into the cloud. Denaturing, which is an owner-specific reduction in fidelity of video content to preserve privacy, is one form of analytics on cloudlets. Content-based indexing for search is another form of cloudlet-based analytics. This article is part of a special issue on smart spaces.
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2015.32