GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT

Abstract

Original language	English
Journal	IEEE Transactions on Industrial Informatics
Volume	20
Issue	4
Pages (from-to)	6954-6962
Number of pages	9
ISSN	1551-3203
DOIs	https://doi.org/10.1109/TII.2024.3353913
Publication status	Published - 1 Apr 2024

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• 10.1109/TII.2024.3353913

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Dive into the research topics of 'GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT'. Together they form a unique fingerprint.

• Internet of Things Computer Science 100%
• deduplication Computer Science 100%
• Data Analytics Computer Science 60%
• Information Storage Computer Science 40%
• Speed-up Computer Science 20%
• Data Communication Computer Science 20%
• Data Compression Computer Science 20%
• Random Access Computer Science 20%

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Projects

• 1 Finished

Projects per year

• Light-IoT: Analytics Straight on Compressed IoT Data

  Zhang, Q. (PI), Lucani Rötter, D. E. (CoPI) & Assent, I. (CoPI)

  01/12/2020 → 30/09/2023

  Project: Research

  • deduplication 100%
  • Data Compression 53%
  • Internet of Things 40%
  • Query Processing 40%
  • Approximate Computing 40%

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Hurst, A., Lucani Rötter, D. E., & Zhang, Q. (2024). GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. IEEE Transactions on Industrial Informatics, 20(4), 6954-6962. https://doi.org/10.1109/TII.2024.3353913

Hurst, Aaron ; Lucani Rötter, Daniel Enrique ; Zhang, Qi. / GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. In: IEEE Transactions on Industrial Informatics. 2024 ; Vol. 20, No. 4. pp. 6954-6962.

@article{a6aa9d99899e45f0ac0b952449bf6080,

title = "GreedyGD:: Enhanced Generalized Deduplication for Direct Analytics in IoT",

author = "Aaron Hurst and {Lucani R{\"o}tter}, {Daniel Enrique} and Qi Zhang",

year = "2024",

month = apr,

day = "1",

doi = "10.1109/TII.2024.3353913",

language = "English",

volume = "20",

pages = "6954--6962",

journal = "IEEE Transactions on Industrial Informatics",

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Hurst, A, Lucani Rötter, DE & Zhang, Q 2024, 'GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT', IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6954-6962. https://doi.org/10.1109/TII.2024.3353913

GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. / Hurst, Aaron; Lucani Rötter, Daniel Enrique; Zhang, Qi.
In: IEEE Transactions on Industrial Informatics, Vol. 20, No. 4, 01.04.2024, p. 6954-6962.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

TY - JOUR

T1 - GreedyGD:

T2 - Enhanced Generalized Deduplication for Direct Analytics in IoT

AU - Hurst, Aaron

AU - Lucani Rötter, Daniel Enrique

AU - Zhang, Qi

PY - 2024/4/1

Y1 - 2024/4/1

U2 - 10.1109/TII.2024.3353913

DO - 10.1109/TII.2024.3353913

M3 - Journal article

SN - 1551-3203

VL - 20

SP - 6954

EP - 6962

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

IS - 4

ER -

Hurst A, Lucani Rötter DE, Zhang Q. GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. IEEE Transactions on Industrial Informatics. 2024 Apr 1;20(4):6954-6962. doi: 10.1109/TII.2024.3353913