SmartBench: a benchmark for data management in smart spaces
dc.contributor.author | Gupta, Peeyush | |
dc.contributor.author | Carey, Michael J. | |
dc.contributor.author | Mehrotra, Sharad | |
dc.contributor.author | Yus, Roberto | |
dc.date.accessioned | 2022-06-07T20:43:01Z | |
dc.date.available | 2022-06-07T20:43:01Z | |
dc.date.issued | 2020-09-14 | |
dc.description.abstract | This 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_US |
dc.description.sponsorship | This 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_US |
dc.description.uri | https://dl.acm.org/doi/10.14778/3407790.3407791 | en_US |
dc.description.uri | https://www.youtube.com/watch?v=gefB6z5hqb4 | |
dc.description.uri | https://robertoyus.com/publication/vldb2-2020/ | |
dc.format.extent | 14 pages | en_US |
dc.genre | journal articles | en_US |
dc.genre | videorecordings | en_US |
dc.identifier | doi:10.13016/m2irwr-opyd | |
dc.identifier.citation | Peeyush 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/10.14778/3407790.3407791 | en_US |
dc.identifier.uri | https://doi.org/10.14778/3407790.3407791 | |
dc.identifier.uri | http://hdl.handle.net/11603/24842 | |
dc.language.iso | en_US | en_US |
dc.publisher | ACM | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.rights | This 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.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | SmartBench: a benchmark for data management in smart spaces | en_US |
dc.type | Text | en_US |
dcterms.creator | https://orcid.org/0000-0002-9311-954X | en_US |
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