GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics
Author:
Affiliation:
1. DIGIT Centre and the Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
2. DIGIT Centre and the Department of Computer Science, Aarhus University, Aarhus, Denmark
Funder
Analytics Straight on Compressed IoT Data (Light-IoT) Project granted by the Danish Council for Independent Research and Aarhus University’s DIGIT Centre
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10049212/09754693.pdf?arnumber=9754693
Reference61 articles.
1. A Survey on the Edge Computing for the Internet of Things
2. A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications;nayak;arXiv 2107 06835v1,2021
3. Lossless Compression of Time Series Data with Generalized Deduplication
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