Published July 17, 2022
| Version 1.0
Poster
Open
mProv: Provenance-Based Data Analytics Cyberinfrastructure for High-Frequency Mobile Sensor Data
Authors/Creators
- 1. University of Pennsylvania
- 2. University of Memphis
- 3. UCLA
- 4. UCSF
Contributors
Project manager:
Project member:
Researcher (6):
- 1. University of Memphis
- 2. UCLA
- 3. University of Pennsylvania
- 4. UCSF
Description
mProv develops standards, libraries, and compressed storage/query services to capture fine-grained data provenance over streaming data -- with applications in mobile health sensors and more. Among other capabilities, our infrastructure facilitates reasoning about data quality, enforcing privacy filter conditions, and high-fidelity sensor data stream replay.
Files
mProv Poster 2022.pdf
Files
(3.5 MB)
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