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CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance
This repository contains the implementation ofCDSBen published in VLDB'2023.
./|-YCSB-master # YCSB implementation, which can be adapted to generate and execute I/O workloads on the storage tier. For up-to-date YCSB, please refer to https://github.com/brianfrankcooper/YCSB.|-benchbase-main # Benchbase implementation we used to generate TPC-C transaction workloads on the compute tier. For up-to-date benchbase, please refer to https://github.com/cmu-db/benchbase.|-models.py # Implementation of the models in CDSBen.|-ycsb_adaptation_instruction.md # General instructions on how to adapt YCSB for CDSBen.If you use our code, please cite our paper:
@article{10.14778/3611540.3611549,author = {Zhang, Jiashu and Jiang, Wen and Tang, Bo and Ma, Haoxiang and Cao, Lixun and Jiang, Zhongbin and Nie, Yuanyuan and Wang, Fan and Zhang, Lei and Liang, Yuming},title = {CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance},year = {2023},issue_date = {August 2023},publisher = {VLDB Endowment},volume = {16},number = {12},issn = {2150-8097},journal = {PVLDB},pages = {3584 - 3596},numpages = {13}}