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Direct Analytics of Generalized Deduplication Compressed IoT Data

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

DOI

Given the ever increasing volume of data generated by the Internet of Things, data compression plays an essential role in reducing the cost of data transmission and storage. However, it also introduces a barrier, namely decompression, between users and the data-driven insights they require. We propose techniques for direct analytics of compressed data based on the Generalised Deduplication compression algorithm. When applied to data clustering, the accuracy of the proposed method differs by merely 1-5% when compared to analytics performed upon the uncompressed data. However, it runs four times faster, accesses only 14% as much data and, since the data is always compressed, requires significantly less storage. These results show that it is possible to simultaneously reap the benefits of compression and accurate, high-speed analytics in many applications.
OriginalsprogEngelsk
TitelIEEE Global Communications Conference (GLOBECOM)
ForlagIEEE
Udgivelsesår2021
DOI
StatusUdgivet - 2021
BegivenhedIEEE Conference and Exhibition on Global Telecommunications - Hybrid: In-Person and Virtual Conference, Madrid, Spanien
Varighed: 7 dec. 2021 → 11 dec. 2021
Konferencens nummer: 2021
https://globecom2021.ieee-globecom.org/

Konference

KonferenceIEEE Conference and Exhibition on Global Telecommunications
Nummer2021
LokationHybrid: In-Person and Virtual Conference
LandSpanien
ByMadrid
Periode07/12/2021 → 11/12/2021
Internetadresse
SerietitelIEEE Global Communications Conference (GLOBECOM)
ISSN1930-529X

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