Using eBPF for Database Workload Tracing: An Explorative Study
Author:
Affiliation:
1. Ulm University, Ulm, Germany
2. benchANT GmbH, Ulm, Germany
Funder
German Federal Ministry for Economic Affairs and Climate Action
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3578245.3584313
Reference23 articles.
1. Marcelo Amaral Tatsuhiro Chiba Scott Trent Takeshi Yoshimura and Sunyanan Choochotkaew. 2022. MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF. In 2022 IEEE 15th International Conference on Cloud Computing (CLOUD). 2022 IEEE 15th International Conference on Cloud Computing (CLOUD). (July 2022) 230--240. doi: 10.1109/CLOUD55607.2022.00043. 10.1109/CLOUD55607.2022.00043
2. Marcelo Amaral Tatsuhiro Chiba Scott Trent Takeshi Yoshimura and Sunyanan Choochotkaew. 2022. MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF. In 2022 IEEE 15th International Conference on Cloud Computing (CLOUD). 2022 IEEE 15th International Conference on Cloud Computing (CLOUD). (July 2022) 230--240. doi: 10.1109/CLOUD55607.2022.00043.
3. Benchmarking cloud serving systems with YCSB
4. DIAMetrics
5. Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads
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