SmartBench: A Benchmark For Data Management In Smart Spaces
Peeyush Gupta, Michael J. Carey, Sharad Mehrotra, Roberto Yus
摘要
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.
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- TSM-Bench: Benchmarking Time Series Database Systems for Monitoring ApplicationsAbdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Eddine Difallah 等VLDB 2023 · 被引用 24 次
- JENNER: Just-in-time Enrichment in Query ProcessingDhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Roberto Yus 等VLDB 2022 · 被引用 5 次
- STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid StorageTao Kong, Hui Li, Yuxuan Zhao, Liping Li 等VLDB 2025
- Meaningful Data Erasure in the Presence of DependenciesVishal Chakraborty, Youri Kaminsky, Sharad Mehrotra, Felix Naumann 等VLDB 2025
- Sieve: A Middleware Approach to Scalable Access Control for Database Management SystemsPrimal Pappachan, Roberto Yus, Sharad Mehrotra, Johann-Christoph FreytagVLDB 2020
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