JENNER: Just-in-time Enrichment in Query Processing

Simple item page
dc.contributor.authorGhosh, Dhrubajyoti
dc.contributor.authorGupta, Peeyush
dc.contributor.authorMehrotra, Sharad
dc.contributor.authorYus, Roberto
dc.contributor.authorAltowim, Yasser
dc.date.accessioned2022-10-11T16:42:07Z
dc.date.available2022-10-11T16:42:07Z
dc.date.issued2022-09-29
dc.descriptionProceedings of the VLDB Endowment, July 2022en_US
dc.description.abstractEmerging domains, such as sensor-driven smart spaces and social media analytics, require incoming data to be enriched prior to its use. Enrichment often consists of machine learning (ML) functions that are too expensive/infeasible to execute at ingestion. We develop a strategy entitled Just-in-time ENrichmeNt in quERy Processing (JENNER) to support interactive analytics over data as soon as it arrives for such application context. JENNER exploits the inherent tradeoffs of cost and quality often displayed by the ML functions to progressively improve query answers during query execution. We describe how JENNER works for a large class of SPJ and aggregation queries that form the bulk of data analytics workload. Our experimental results on real datasets (IoT and Tweet) show that JENNER achieves progressive answers performing significantly better than the naive strategies of achieving progressive computation.en_US
dc.description.sponsorshipThis material was partially funded by the research sponsored by DARPA under agreement number FA8750-16-2-0021 and NSF Grants No. 1952247, 2133391, 2032525, and 2008993.en_US
dc.description.urihttps://dl.acm.org/doi/10.14778/3551793.3551822en_US
dc.format.extent13 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2v6g1-lhh4
dc.identifier.citationGhosh, Dhrubajyoti et al. "JENNER: Just-in-time Enrichment in Query Processing." In Proceedings of the VLDB Endowment, 15, no. 11 (2022). doi:10.14778/3551793.3551822en_US
dc.identifier.urihttps://doi.org/10.14778/3551793.3551822
dc.identifier.urihttp://hdl.handle.net/11603/26147
dc.language.isoen_USen_US
dc.publisherVLDB Endowmenten_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectUMBC Ebiquity Research Group
dc.titleJENNER: Just-in-time Enrichment in Query Processingen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-9311-954Xen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
3551793.3551822.pdf
Size:
1.48 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection