SmartBench: a benchmark for data management in smart spaces

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dc.contributor.authorGupta, Peeyush
dc.contributor.authorCarey, Michael J.
dc.contributor.authorMehrotra, Sharad
dc.contributor.authorYus, Roberto
dc.date.accessioned2022-06-07T20:43:01Z
dc.date.available2022-06-07T20:43:01Z
dc.date.issued2020-09-14
dc.description.abstractThis paper proposes SmartBench, a benchmark focusing on queries resulting from (near) real-time applications and longer-term analysis of IoT data. SmartBench, derived from a deployed smart building monitoring system, is comprised of: 1) An extensible schema that captures the fundamentals of an IoT smart space; 2) A set of representative queries focusing on analytical tasks; and 3) A data generation tool that generates large amounts of synthetic sensor and semantic data based on seed data collected from a real system. We present an evaluation of seven representative database systems and highlight some interesting findings that can be considered when deciding what database technologies to use under different types of IoT query workloads.en
dc.description.sponsorshipThis material is based on research sponsored by DARPA under agreement number FA8750-16-2-0021. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA or the U.S. Government. This work was also supported by NSF award CNS1925610 and Toshiba. We also want to thank Fangfang Fu for her help in the development of the data generator tool.en
dc.description.urihttps://www.youtube.com/watch?v=gefB6z5hqb4
dc.description.urihttps://robertoyus.com/publication/vldb2-2020/
dc.description.urihttps://dl.acm.org/doi/10.14778/3407790.3407791en
dc.format.extent14 pagesen
dc.genrejournal articlesen
dc.genrevideorecordingsen
dc.identifierdoi:10.13016/m2irwr-opyd
dc.identifier.citationPeeyush Gupta, Michael J. Carey, Sharad Mehrotra, and Roberto Yus. 2020. SmartBench: a benchmark for data management in smart spaces. Proc. VLDB Endow. 13, 12 (August 2020), 1807–1820. DOI:https://doi.org/10.14778/3407790.3407791en
dc.identifier.urihttps://doi.org/10.14778/3407790.3407791
dc.identifier.urihttp://hdl.handle.net/11603/24842
dc.language.isoenen
dc.publisherACMen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)*
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
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSmartBench: a benchmark for data management in smart spacesen
dc.typeTexten
dcterms.creatorhttps://orcid.org/0000-0002-9311-954Xen

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