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  • Chen H, Chen X, Liang Z, Feng X, Xie J, Su H and Zheng K. Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. (218-227).

    https://doi.org/10.1145/3627673.3679700

  • Li K, Weng S, Ni L, Yang C, Zhang R, Zhou X and Zhou A. DBStorm: Generating Various Effective Workloads for Testing Isolation Levels. Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis. (755-767).

    https://doi.org/10.1145/3650212.3680318

  • Kroth B, Matusevych S, Alotaibi R, Zhu Y, Gruenheid A and Tian Y. (2024). MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. Proceedings of the VLDB Endowment. 17:12. (4269-4272). Online publication date: 1-Aug-2024.

    https://doi.org/10.14778/3685800.3685852

  • Zhang W, Lim W, Butrovich M and Pavlo A. (2024). The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions. Proceedings of the VLDB Endowment. 10.14778/3681954.3682007. 17:11. (3373-3387). Online publication date: 1-Jul-2024.

    https://dl.acm.org/doi/10.14778/3681954.3682007

  • Cheng A, Kabcenell A, Chan J, Shi X, Bailis P, Crooks N and Stoica I. (2024). Towards Optimal Transaction Scheduling. Proceedings of the VLDB Endowment. 17:11. (2694-2707). Online publication date: 1-Jul-2024.

    https://doi.org/10.14778/3681954.3681956

  • Geng C, Blanas S, Bond M and Wang Y. (2024). IsoPredict: Dynamic Predictive Analysis for Detecting Unserializable Behaviors in Weakly Isolated Data Store Applications. Proceedings of the ACM on Programming Languages. 8:PLDI. (343-367). Online publication date: 20-Jun-2024.

    https://doi.org/10.1145/3656391

  • Benson L, Binnig C, Bodensohn J, Lorenzi F, Luo J, Porobic D, Rabl T, Sanghi A, Sears R, Tözün P and Ziegler T. Surprise Benchmarking: The Why, What, and How. Proceedings of the Tenth International Workshop on Testing Database Systems. (1-8).

    https://doi.org/10.1145/3662165.3662763

  • Enzler E, Goerens O, Alonso G and Gruenheid A. Performance Truthfulness of Differential Privacy for DB Testing. Proceedings of the Tenth International Workshop on Testing Database Systems. (30-35).

    https://doi.org/10.1145/3662165.3662762

  • Kanellis K, Freischuetz J and Venkataraman S. Nautilus: A Benchmarking Platform for DBMS Knob Tuning. Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning. (72-76).

    https://doi.org/10.1145/3650203.3663336

  • Lao J, Wang Y, Li Y, Wang J, Zhang Y, Cheng Z, Chen W, Zhou Y, Tang M and Wang J. A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System. Companion of the 2024 International Conference on Management of Data. (504-507).

    https://doi.org/10.1145/3626246.3654739

  • de la Rúa Martínez J, Buso F, Kouzoupis A, Ormenisan A, Niazi S, Bzhalava D, Mak K, Jouffrey V, Ronström M, Cunningham R, Zangis R, Mukhedkar D, Khazanchi A, Vlassov V and Dowling J. The Hopsworks Feature Store for Machine Learning. Companion of the 2024 International Conference on Management of Data. (135-147).

    https://doi.org/10.1145/3626246.3653389

  • Pavlenko A, Cahoon J, Zhu Y, Kroth B, Nelson M, Carter A, Liao D, Wright T, Camacho-Rodríguez J and Saur K. Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud. Companion of the 2024 International Conference on Management of Data. (241-254).

    https://doi.org/10.1145/3626246.3653378

  • Godala B, Ramesh S, Pokam G, Stark J, Seznec A, Tullsen D and August D. PDIP: Priority Directed Instruction Prefetching. Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. (846-861).

    https://doi.org/10.1145/3620665.3640394

  • Zhan Y, Xi R, Liao J, Fan S and Hou M. KnobTune: A Dynamic Database Configuration Tuning Strategy Leveraging Historical Workload Similarities. Proceedings of the International Conference on Computing, Machine Learning and Data Science. (1-8).

    https://doi.org/10.1145/3661725.3661734

  • Lao J, Wang Y, Li Y, Wang J, Zhang Y, Cheng Z, Chen W, Tang M and Wang J. (2024). GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization. Proceedings of the VLDB Endowment. 17:8. (1939-1952). Online publication date: 1-Apr-2024.

    https://doi.org/10.14778/3659437.3659449

  • Camacho-Rodríguez J, Agrawal A, Gruenheid A, Gosalia A, Petculescu C, Aguilar-Saborit J, Floratou A, Curino C and Ramakrishnan R. (2024). LST-Bench: Benchmarking Log-Structured Tables in the Cloud. Proceedings of the ACM on Management of Data. 2:1. (1-26). Online publication date: 12-Mar-2024.

    https://doi.org/10.1145/3639314

  • Li J, Chen Q, Tang X and Guo M. (2024). SHA: QoS-Aware Software and Hardware Auto-Tuning for Database Systems. Journal of Computer Science and Technology. 39:2. (369-383). Online publication date: 1-Mar-2024.

    https://doi.org/10.1007/s11390-022-1751-3

  • Japke N, Witzko C, Grambow M and Bermbach D. The Early Microbenchmark Catches the Bug -- Studying Performance Issues Using Micro- and Application Benchmarks. Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. (1-10).

    https://doi.org/10.1145/3603166.3632128

  • Ji Z, Ma P and Wang S. PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering. (1454-1466).

    https://doi.org/10.1109/ASE56229.2023.00106

  • Zhang X, Wu H, Li Y, Tang Z, Tan J, Li F and Cui B. (2023). An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. Proceedings of the VLDB Endowment. 17:3. (539-552). Online publication date: 1-Nov-2023.

    https://doi.org/10.14778/3632093.3632114

  • Reidys B, Xue Y, Li D, Sukhwani B, Hwu W, Chen D, Asaad S and Huang J. RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. Proceedings of the 29th Symposium on Operating Systems Principles. (182-199).

    https://doi.org/10.1145/3600006.3613170

  • Chen Z, Che W, Hu D, He X, Sun J and Chen H. (2023). On the Performance Intricacies of Persistent Memory Aware Storage Engines. IEEE Transactions on Knowledge and Data Engineering. 35:10. (10365-10382). Online publication date: 1-Oct-2023.

    https://doi.org/10.1109/TKDE.2023.3248643

  • Erdelt P. A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools. Performance Evaluation and Benchmarking. (124-142).

    https://doi.org/10.1007/978-3-031-68031-1_9

  • Zhou X, Chen C, Li K, He B, Lu M, Liu Q, Huang W, Li G, Zheng Z and Chen Y. (2023). FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. Proceedings of the VLDB Endowment. 16:12. (3597-3609). Online publication date: 1-Aug-2023.

    https://doi.org/10.14778/3611540.3611550

  • Zhang J, Jiang W, Tang B, Ma H, Cao L, Jiang Z, Nie Y, Wang F, Zhang L and Liang Y. (2023). CDSBen: Benchmarking the Performance of Storage Services in Cloud-Native Database System at ByteDance. Proceedings of the VLDB Endowment. 16:12. (3584-3596). Online publication date: 1-Aug-2023.

    https://doi.org/10.14778/3611540.3611549

  • Chen J, Shi R, Chen H, Zhang L, Li R, Ding W, Fan L, Wang H, Xiong M, Chen Y, Dong B, Guo K, Lin Y, Liu X, Shi H, Wang P, Wang Z, Yang Y, Zhao J, Zhou D, Zuo Z and Liang Y. (2023). Krypton: Real-Time Serving and Analytical SQL Engine at ByteDance. Proceedings of the VLDB Endowment. 16:12. (3528-3542). Online publication date: 1-Aug-2023.

    https://doi.org/10.14778/3611540.3611545

  • Zhang X, Pei S, Choi J and Kim B. Excessive SSD-Internal Parallelism Considered Harmful. Proceedings of the 15th ACM Workshop on Hot Topics in Storage and File Systems. (65-72).

    https://doi.org/10.1145/3599691.3603412

  • Khelifati A, Khayati M, Dignös A, Difallah D and Cudré-Mauroux P. (2023). TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications. Proceedings of the VLDB Endowment. 16:11. (3363-3376). Online publication date: 1-Jul-2023.

    https://doi.org/10.14778/3611479.3611532

  • Butrovich M, Ramanathan K, Rollinson J, Lim W, Zhang W, Sherry J and Pavlo A. (2023). Tigger: A Database Proxy That Bounces with User-Bypass. Proceedings of the VLDB Endowment. 16:11. (3335-3348). Online publication date: 1-Jul-2023.

    https://doi.org/10.14778/3611479.3611530

  • Marathe A. (2023). Towards intelligent database systems using clusters of SQL transactions. Knowledge and Information Systems. 65:7. (2863-2894). Online publication date: 1-Jul-2023.

    https://doi.org/10.1007/s10115-023-01850-5

  • Nagendra N, Godala B, Chaturvedi I, Patel A, Kanev S, Moseley T, Stark J, Pokam G, Campanoni S and August D. EMISSARY: Enhanced Miss Awareness Replacement Policy for L2 Instruction Caching. Proceedings of the 50th Annual International Symposium on Computer Architecture. (1-13).

    https://doi.org/10.1145/3579371.3589097

  • Bouajjani A, Enea C and Román-Calvo E. (2023). Dynamic Partial Order Reduction for Checking Correctness against Transaction Isolation Levels. Proceedings of the ACM on Programming Languages. 7:PLDI. (565-590). Online publication date: 6-Jun-2023.

    https://doi.org/10.1145/3591243

  • Doshi L, Zhuang V, Jain G, Marcus R, Huang H, Altinbüken D, Brevdo E and Fraser C. (2023). Kepler: Robust Learning for Parametric Query Optimization. Proceedings of the ACM on Management of Data. 1:1. (1-25). Online publication date: 26-May-2023.

    https://doi.org/10.1145/3588963

  • Huang S, Wang Z, Zhang X, Tu Y, Li Z and Cui B. (2023). DBPA: A Benchmark for Transactional Database Performance Anomalies. Proceedings of the ACM on Management of Data. 1:1. (1-26). Online publication date: 26-May-2023.

    https://doi.org/10.1145/3588926

  • Yue C, Zhang M, Zhu C, Chen G, Loghin D and Ooi B. (2023). VeriBench: Analyzing the Performance of Database Systems with Verifiability. Proceedings of the VLDB Endowment. 16:9. (2145-2157). Online publication date: 1-May-2023.

    https://doi.org/10.14778/3598581.3598588

  • Zhang C, Li Y, Zhang R, Qian W and Zhou A. (2022). Scalable and quantitative contention generation for performance evaluation on OLTP databases. Frontiers of Computer Science: Selected Publications from Chinese Universities. 17:2. Online publication date: 1-Apr-2023.

    https://doi.org/10.1007/s11704-022-1056-2

  • Li Y, Tan J, Wu B, He X and Li F. ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices. Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4. (287-323).

    https://doi.org/10.1145/3623278.3624771

  • Ajdari M, Peykani Sani P, Moradi A, Khanalizadeh Imani M, Bazkhanei A and Asadi H. Re-architecting I/O Caches for Emerging Fast Storage Devices. Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3. (542-555).

    https://doi.org/10.1145/3582016.3582041

  • Alhomssi A and Leis V. (2023). Scalable and Robust Snapshot Isolation for High-Performance Storage Engines. Proceedings of the VLDB Endowment. 16:6. (1426-1438). Online publication date: 1-Feb-2023.

    https://doi.org/10.14778/3583140.3583157

  • Toffalini F, Payer M, Zhou J and Cavallaro L. Designing a Provenance Analysis for SGX Enclaves. Proceedings of the 38th Annual Computer Security Applications Conference. (102-116).

    https://doi.org/10.1145/3564625.3567994

  • Huang Y, Qian W, Kohler E, Liskov B and Shrira L. (2022). Opportunities for optimism in contended main-memory multicore transactions. The VLDB Journal — The International Journal on Very Large Data Bases. 31:6. (1239-1261). Online publication date: 1-Nov-2022.

    https://doi.org/10.1007/s00778-021-00719-9

  • Wang S, Li Y, Li H, Li F, Tian C, Su L, Zhang Y, Ma Y, Yan L, Sun Y, Cheng X, Xie X and Zou Y. (2022). Operon. Proceedings of the VLDB Endowment. 15:12. (3332-3345). Online publication date: 1-Aug-2022.

    https://doi.org/10.14778/3554821.3554826

  • Zhang C, Zhang R and Liu K. Dynamic Environment Simulation for Database Performance Evaluation. Theoretical Aspects of Software Engineering. (238-255).

    https://doi.org/10.1007/978-3-031-10363-6_17

  • Mostafa J, Wehbi S, Chilingaryan S and Kopmann A. SciTS: A Benchmark for Time-Series Databases in Scientific Experiments and Industrial Internet of Things. Proceedings of the 34th International Conference on Scientific and Statistical Database Management. (1-11).

    https://doi.org/10.1145/3538712.3538723

  • Abebe M, Lazu H and Daudjee K. (2022). Tiresias. Proceedings of the VLDB Endowment. 15:11. (3126-3136). Online publication date: 1-Jul-2022.

    https://doi.org/10.14778/3551793.3551857

  • Kanellis K, Ding C, Kroth B, Müller A, Curino C and Venkataraman S. (2022). LlamaTune. Proceedings of the VLDB Endowment. 15:11. (2953-2965). Online publication date: 1-Jul-2022.

    https://doi.org/10.14778/3551793.3551844

  • Belloni S, Ritter D, Schröder M and Rörup N. DeepBench. Proceedings of the 2022 workshop on 9th International Workshop of Testing Database Systems. (1-9).

    https://doi.org/10.1145/3531348.3532176

  • Zhang X, Wu H, Li Y, Tan J, Li F and Cui B. Towards Dynamic and Safe Configuration Tuning for Cloud Databases. Proceedings of the 2022 International Conference on Management of Data. (631-645).

    https://doi.org/10.1145/3514221.3526176

  • Campbell F, Arab B and Glavic B. Efficient Answering of Historical What-if Queries. Proceedings of the 2022 International Conference on Management of Data. (1556-1569).

    https://doi.org/10.1145/3514221.3526138

  • Kang J, Cai L, Li F, Zhou X, Cao W, Cai S and Shao D. Remus: Efficient Live Migration for Distributed Databases with Snapshot Isolation. Proceedings of the 2022 International Conference on Management of Data. (2232-2245).

    https://doi.org/10.1145/3514221.3526047

  • Fruth M. Live Patching Database Management Systems. Proceedings of the 2022 International Conference on Management of Data. (2524-2526).

    https://doi.org/10.1145/3514221.3520253

  • Xia Y, Yu X, Butrovich M, Pavlo A and Devadas S. Litmus: Towards a Practical Database Management System with Verifiable ACID Properties and Transaction Correctness. Proceedings of the 2022 International Conference on Management of Data. (1478-1492).

    https://doi.org/10.1145/3514221.3517851

  • Butrovich M, Lim W, Ma L, Rollinson J, Zhang W, Xia Y and Pavlo A. Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems. Proceedings of the 2022 International Conference on Management of Data. (617-630).

    https://doi.org/10.1145/3514221.3517845

  • Abebe M, Lazu H and Daudjee K. Proteus: Autonomous Adaptive Storage for Mixed Workloads. Proceedings of the 2022 International Conference on Management of Data. (700-714).

    https://doi.org/10.1145/3514221.3517834

  • Jasny M, Thostrup L, Ziegler T and Binnig C. P4DB - The Case for In-Network OLTP. Proceedings of the 2022 International Conference on Management of Data. (1375-1389).

    https://doi.org/10.1145/3514221.3517825

  • KP A, Kumar S, Mishra D and Panda B. SniP. Proceedings of the 19th International Conference on Mining Software Repositories. (408-412).

    https://doi.org/10.1145/3524842.3528499

  • Cheng A, Shi X, Kabcenell A, Lawande S, Qadeer H, Chan J, Tin H, Zhao R, Bailis P, Balakrishnan M, Bronson N, Crooks N and Stoica I. (2022). TAOBench. Proceedings of the VLDB Endowment. 15:9. (1965-1977). Online publication date: 1-May-2022.

    https://doi.org/10.14778/3538598.3538616

  • Zhang X, Chang Z, Li Y, Wu H, Tan J, Li F and Cui B. (2022). Facilitating database tuning with hyper-parameter optimization. Proceedings of the VLDB Endowment. 15:9. (1808-1821). Online publication date: 1-May-2022.

    https://doi.org/10.14778/3538598.3538604

  • Varghese B, Wang N, Bermbach D, Hong C, Lara E, Shi W and Stewart C. (2021). A Survey on Edge Performance Benchmarking. ACM Computing Surveys. 54:3. (1-33). Online publication date: 30-Apr-2022.

    https://doi.org/10.1145/3444692

  • Klenik A and Kocsis I. Porting a benchmark with a classic workload to blockchain. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. (290-298).

    https://doi.org/10.1145/3477314.3507006

  • Wang Y, Yu M, Hui Y, Zhou F, Huang Y, Zhu R, Ren X, Li T and Lu X. (2022). A study of database performance sensitivity to experiment settings. Proceedings of the VLDB Endowment. 15:7. (1439-1452). Online publication date: 1-Mar-2022.

    https://doi.org/10.14778/3523210.3523221

  • Prakash C, Mishra D, Kulkarni P and Bellur U. Portkey: hypervisor-assisted container migration in nested cloud environments. Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments. (3-17).

    https://doi.org/10.1145/3516807.3516817

  • Huang C, Tsai D and Lee C. Memory hot-zone and its application to accelerate the convergence of KSM for VM consolidation. Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion. (1-6).

    https://doi.org/10.1145/3492323.3500867

  • El Motaki S, Yahyaouy A, Gualous H and Sabor J. (2021). A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms. Cluster Computing. 24:4. (3367-3379). Online publication date: 1-Dec-2021.

    https://doi.org/10.1007/s10586-021-03331-2

  • Wang M, Jung C, Ahad A and Kwon Y. Spinner: Automated Dynamic Command Subsystem Perturbation. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. (1839-1860).

    https://doi.org/10.1145/3460120.3484577

  • Suri-Payer F, Burke M, Wang Z, Zhang Y, Alvisi L and Crooks N. Basil. Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles. (1-17).

    https://doi.org/10.1145/3477132.3483552

  • Biswas R, Kakwani D, Vedurada J, Enea C and Lal A. (2021). MonkeyDB: effectively testing correctness under weak isolation levels. Proceedings of the ACM on Programming Languages. 5:OOPSLA. (1-27). Online publication date: 20-Oct-2021.

    https://doi.org/10.1145/3485546

  • Zhang C, Zhang R, Su Q and Zhou A. Dynamic Environment Simulation for Database Performance Evaluation. Web and Big Data. (180-189).

    https://doi.org/10.1007/978-3-030-85896-4_15

  • Fruth M, Scherzinger S, Mauerer W and Ramsauer R. Tell-Tale Tail Latencies: Pitfalls and Perils in Database Benchmarking. Performance Evaluation and Benchmarking. (119-134).

    https://doi.org/10.1007/978-3-030-94437-7_8

  • Claesen C, Rafique A, Van Landuyt D and Joosen W. A YCSB Workload for Benchmarking Hotspot Object Behaviour in NoSQL Databases. Performance Evaluation and Benchmarking. (1-16).

    https://doi.org/10.1007/978-3-030-94437-7_1

  • Rahmani K, Nagar K, Delaware B and Jagannathan S. Repairing serializability bugs in distributed database programs via automated schema refactoring. Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation. (32-47).

    https://doi.org/10.1145/3453483.3454028

  • Moeller J, Ye Z, Lin K and Lang W. Toto – Benchmarking the Efficiency of a Cloud Service. Proceedings of the 2021 International Conference on Management of Data. (2543-2556).

    https://doi.org/10.1145/3448016.3457555

  • Zhang X, Wu H, Chang Z, Jin S, Tan J, Li F, Zhang T and Cui B. ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases. Proceedings of the 2021 International Conference on Management of Data. (2102-2114).

    https://doi.org/10.1145/3448016.3457291

  • Ma L, Zhang W, Jiao J, Wang W, Butrovich M, Lim W, Menon P and Pavlo A. MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems. Proceedings of the 2021 International Conference on Management of Data. (1248-1261).

    https://doi.org/10.1145/3448016.3457276

  • Bhattacherjee S, Liao G, Hicks M and Abadi D. BullFrog: Online Schema Evolution via Lazy Evaluation. Proceedings of the 2021 International Conference on Management of Data. (194-206).

    https://doi.org/10.1145/3448016.3452842

  • Gaffney K, Claus R and Patel J. (2021). Database isolation by scheduling. Proceedings of the VLDB Endowment. 14:9. (1467-1480). Online publication date: 1-May-2021.

    https://doi.org/10.14778/3461535.3461537

  • Katsarakis A, Ma Y, Tan Z, Bainbridge A, Balkwill M, Dragojevic A, Grot B, Radunovic B and Zhang Y. Zeus. Proceedings of the Sixteenth European Conference on Computer Systems. (145-161).

    https://doi.org/10.1145/3447786.3456234

  • Kousiouris G and Kyriazis D. Enabling Containerized, Parametric and Distributed Database Deployment and Benchmarking as a Service. Companion of the ACM/SPEC International Conference on Performance Engineering. (77-80).

    https://doi.org/10.1145/3447545.3451188

  • Domaschka J, Leznik M, Seybold D, Eismann S, Grohmann J and Kounev S. Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads. Companion of the ACM/SPEC International Conference on Performance Engineering. (175-178).

    https://doi.org/10.1145/3447545.3451175

  • Shi G, Wang C, Huang B, Feng H and Wang B. UniTest: A Universal Testing Framework for Database Management Systems. Database Systems for Advanced Applications. (96-104).

    https://doi.org/10.1007/978-3-030-73194-6_7

  • Van Aken D, Yang D, Brillard S, Fiorino A, Zhang B, Bilien C and Pavlo A. (2021). An inquiry into machine learning-based automatic configuration tuning services on real-world database management systems. Proceedings of the VLDB Endowment. 14:7. (1241-1253). Online publication date: 1-Mar-2021.

    https://doi.org/10.14778/3450980.3450992

  • Whittaker M and Hellerstein J. (2020). Interactive checks for coordination avoidance. The VLDB Journal — The International Journal on Very Large Data Bases. 30:1. (71-92). Online publication date: 1-Jan-2021.

    https://doi.org/10.1007/s00778-020-00628-3

  • Li T, Butrovich M, Ngom A, Lim W, McKinney W and Pavlo A. (2021). Mainlining databases. Proceedings of the VLDB Endowment. 14:4. (534-546). Online publication date: 1-Dec-2020.

    https://doi.org/10.14778/3436905.3436913

  • Duan H, Hu H, Zhou X and Zhou A. A Slice-Based Method to Speed Up Join View Maintenance for Transactions. Web Information Systems Engineering – WISE 2020. (359-375).

    https://doi.org/10.1007/978-3-030-62008-0_25

  • Zhang C, Li Y, Zhang R, Qian W and Zhou A. (2020). Benchmarking on intensive transaction processing. Frontiers of Computer Science: Selected Publications from Chinese Universities. 14:5. Online publication date: 1-Oct-2020.

    https://doi.org/10.1007/s11704-019-8438-0

  • Jo C, Kim H, Geng H and Egger B. RackMem. Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. (467-480).

    https://doi.org/10.1145/3410463.3414643

  • Abebe M, Glasbergen B and Daudjee K. (2020). MorphoSys. Proceedings of the VLDB Endowment. 13:13. (3573-3587). Online publication date: 1-Sep-2020.

    https://doi.org/10.14778/3424573.3424578

  • Tanabe T, Hoshino T, Kawashima H and Tatebe O. (2020). An analysis of concurrency control protocols for in-memory databases with CCBench. Proceedings of the VLDB Endowment. 13:13. (3531-3544). Online publication date: 1-Sep-2020.

    https://doi.org/10.14778/3424573.3424575

  • Grambow M, Wittern E and Bermbach D. (2020). Benchmarking the performance of microservice applications. ACM SIGAPP Applied Computing Review. 20:3. (20-34). Online publication date: 1-Sep-2020.

    https://doi.org/10.1145/3429204.3429206

  • Zhang W, Zheng N, Chen Q, Yang Y, Song Z, Ma T, Leng J and Guo M. URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. Proceedings of the 49th International Conference on Parallel Processing. (1-11).

    https://doi.org/10.1145/3404397.3404451

  • Saurez E, Balasubramanian B, Schlichting R, Tschaen B, Narayanan S, Huang Z and Ramachandran U. (2020). A drop-in middleware for serializable DB clustering across geo-distributed sites. Proceedings of the VLDB Endowment. 13:12. (3340-3353). Online publication date: 1-Aug-2020.

    https://doi.org/10.14778/3415478.3415555

  • Glasbergen B, Abebe M, Daudjee K and Levi A. (2020). Sentinel. Proceedings of the VLDB Endowment. 13:12. (2720-2733). Online publication date: 1-Aug-2020.

    https://doi.org/10.14778/3407790.3407856

  • Marathe A. LRZ Convolution: An Algorithm for Automatic Anomaly Detection in Time-series Data. Proceedings of the 32nd International Conference on Scientific and Statistical Database Management. (1-12).

    https://doi.org/10.1145/3400903.3400904

  • Wu Y, Park K, Sen R, Kroth B and Do J. Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. Proceedings of the 16th International Workshop on Data Management on New Hardware. (1-3).

    https://doi.org/10.1145/3399666.3399898

  • Glasbergen B, Langendoen K, Abebe M and Daudjee K. ChronoCache: Predictive and Adaptive Mid-Tier Query Result Caching. Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. (2391-2406).

    https://doi.org/10.1145/3318464.3380593

  • Grambow M, Meusel L, Wittern E and Bermbach D. Benchmarking microservice performance. Proceedings of the 35th Annual ACM Symposium on Applied Computing. (232-241).

    https://doi.org/10.1145/3341105.3373875

  • Huang Y, Qian W, Kohler E, Liskov B and Shrira L. (2020). Opportunities for optimism in contended main-memory multicore transactions. Proceedings of the VLDB Endowment. 13:5. (629-642). Online publication date: 1-Jan-2020.

    https://doi.org/10.14778/3377369.3377373

  • Schreiner G, Knob R, Duarte D, Vilain P and Mello R. NewSQL Through the Looking Glass. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services. (361-369).

    https://doi.org/10.1145/3366030.3366080

  • Schreiner G, Duarte D, Dal Bianco G and Mello R. A Hybrid Partitioning Strategy for NewSQL Databases. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services. (353-360).

    https://doi.org/10.1145/3366030.3366062

  • Felemban M, Felemban E, Kobes J and Ghafoor A. (2019). Threat Management in Data-centric IoT-Based Collaborative Systems. ACM Transactions on Internet Technology. 19:3. (1-19). Online publication date: 22-Nov-2019.

    https://doi.org/10.1145/3323232

  • Mahmoudi N, Lin C, Khazaei H and Litoiu M. Optimizing serverless computing. Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering. (203-213).

    /doi/10.5555/3370272.3370294

  • Zhu H, Bai Z, Li J, Michael E, Ports D, Stoica I and Jin X. (2019). Harmonia. Proceedings of the VLDB Endowment. 13:3. (376-389). Online publication date: 1-Nov-2019.

    https://doi.org/10.14778/3368289.3368301

  • Rahmani K, Nagar K, Delaware B and Jagannathan S. (2019). CLOTHO: directed test generation for weakly consistent database systems. Proceedings of the ACM on Programming Languages. 3:OOPSLA. (1-28). Online publication date: 10-Oct-2019.

    https://doi.org/10.1145/3360543

  • Sun Y, Blelloch G, Lim W and Pavlo A. (2019). On supporting efficient snapshot isolation for hybrid workloads with multi-versioned indexes. Proceedings of the VLDB Endowment. 13:2. (211-225). Online publication date: 1-Oct-2019.

    https://doi.org/10.14778/3364324.3364334

  • He S, Manns G, Saunders J, Wang W, Pollock L and Soffa M. A statistics-based performance testing methodology for cloud applications. Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (188-199).

    https://doi.org/10.1145/3338906.3338912

  • Gu J, Yu Q, Wang X, Wang Z, Zang B, Guan H and Chen H. Pisces. Proceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference. (913-928).

    /doi/10.5555/3358807.3358885

  • Seybold D, Keppler M, Gründler D and Domaschka J. Mowgli. Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering. (321-332).

    https://doi.org/10.1145/3297663.3310303

  • Ghandeharizadeh S and Nguyen H. (2019). Design, implementation, and evaluation of write-back policy with cache augmented data stores. Proceedings of the VLDB Endowment. 12:8. (836-849). Online publication date: 1-Apr-2019.

    https://doi.org/10.14778/3324301.3324302

  • Gogte V, Wang W, Diestelhorst S, Kolli A, Chen P, Narayanasamy S and Wenisch T. Software wear management for persistent memories. Proceedings of the 17th USENIX Conference on File and Storage Technologies. (45-63).

    /doi/10.5555/3323298.3323303

  • Ren S, Zhang Y, Pan L and Xiao Z. (2019). Phantasy. IEEE Transactions on Computers. 68:2. (225-238). Online publication date: 1-Feb-2019.

    https://doi.org/10.1109/TC.2018.2865943

  • Brent L and Fekete A. A Versatile Framework for Painless Benchmarking of Database Management Systems. Databases Theory and Applications. (45-56).

    https://doi.org/10.1007/978-3-030-12079-5_4

  • Saurez E, Balasubramanian B, Schlichting R, Tschaen B, Huang Z, Narayanan S and Ramachandran U. METRIC. Proceedings of the 3rd Workshop on Middleware for Edge Clouds & Cloudlets. (2-7).

    https://doi.org/10.1145/3286685.3286686

  • Zhang C, Li Y, Zhang R, Qian W and Zhou A. Benchmarking for Transaction Processing Database Systems in Big Data Era. Benchmarking, Measuring, and Optimizing. (147-158).

    https://doi.org/10.1007/978-3-030-32813-9_13

  • Alabdulkarim Y, Almaymoni M, Ghandeharizadeh S, Huang H and Nguyen H. Testing Database Applications with Polygraph. Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services. (200-206).

    https://doi.org/10.1145/3282373.3282378

  • Whittaker M and Hellerstein J. (2018). Interactive checks for coordination avoidance. Proceedings of the VLDB Endowment. 12:1. (14-27). Online publication date: 1-Sep-2018.

    https://doi.org/10.14778/3275536.3275538

  • Zhang B, Van Aken D, Wang J, Dai T, Jiang S, Lao J, Sheng S, Pavlo A and Gordon G. (2018). A demonstration of the ottertune automatic database management system tuning service. Proceedings of the VLDB Endowment. 11:12. (1910-1913). Online publication date: 1-Aug-2018.

    https://doi.org/10.14778/3229863.3236222

  • Vogelsgesang A, Haubenschild M, Finis J, Kemper A, Leis V, Muehlbauer T, Neumann T and Then M. Get Real. Proceedings of the Workshop on Testing Database Systems. (1-6).

    https://doi.org/10.1145/3209950.3209952

  • Ma L, Van Aken D, Hefny A, Mezerhane G, Pavlo A and Gordon G. Query-based Workload Forecasting for Self-Driving Database Management Systems. Proceedings of the 2018 International Conference on Management of Data. (631-645).

    https://doi.org/10.1145/3183713.3196908

  • Shah V and Vaz Salles M. Reactors. Proceedings of the 2018 International Conference on Management of Data. (259-274).

    https://doi.org/10.1145/3183713.3183752

  • Tian B, Huang J, Mozafari B and Schoenebeck G. (2018). Contention-aware lock scheduling for transactional databases. Proceedings of the VLDB Endowment. 11:5. (648-662). Online publication date: 1-Jan-2018.

    https://doi.org/10.1145/3187009.3177740

  • Tian B, Huang J, Mozafari B and Schoenebeck G. (2018). Contention-aware lock scheduling for transactional databases. Proceedings of the VLDB Endowment. 11:5. (648-662). Online publication date: 1-Jan-2018.

    https://doi.org/10.1145/3177732.3177740

  • Seybold D. Towards a framework for orchestrated distributed database evaluation in the cloud. Proceedings of the 18th Doctoral Symposium of the 18th International Middleware Conference. (13-14).

    https://doi.org/10.1145/3152688.3152693

  • Bermbach D, Kuhlenkamp J, Dey A, Ramachandran A, Fekete A and Tai S. BenchFoundry: A Benchmarking Framework for Cloud Storage Services. Service-Oriented Computing. (314-330).

    https://doi.org/10.1007/978-3-319-69035-3_22

  • Chen H, Zhang H, Dong M, Wang Z, Xia Y, Guan H and Zang B. (2017). Efficient and Available In-Memory KV-Store with Hybrid Erasure Coding and Replication. ACM Transactions on Storage. 13:3. (1-30). Online publication date: 27-Oct-2017.

    https://doi.org/10.1145/3129900

  • Tommasini R, Della Valle E, Mauri A and Brambilla M. RSPLab: RDF Stream Processing Benchmarking Made Easy. The Semantic Web – ISWC 2017. (202-209).

    https://doi.org/10.1007/978-3-319-68204-4_21

  • Jo C, Cho Y and Egger B. A machine learning approach to live migration modeling. Proceedings of the 2017 Symposium on Cloud Computing. (351-364).

    https://doi.org/10.1145/3127479.3129262

  • Garg A, Mishra D and Kulkarni P. (2017). Catalyst. ACM SIGPLAN Notices. 52:7. (44-59). Online publication date: 14-Sep-2017.

    https://doi.org/10.1145/3140607.3050760

  • Chalak O, Weiguang C, Wei L, Lei F, Libing Z, Jintang W, Zuguang W, Xiongli G, Haibin W and Mendelson A. ScaleSimulator. Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques. (32-41).

    https://doi.org/10.1145/3173519.3173528

  • Agarwal N and Wenisch T. (2017). Thermostat. ACM SIGPLAN Notices. 52:4. (631-644). Online publication date: 12-May-2017.

    https://doi.org/10.1145/3093336.3037706

  • Agarwal N and Wenisch T. (2017). Thermostat. ACM SIGARCH Computer Architecture News. 45:1. (631-644). Online publication date: 11-May-2017.

    https://doi.org/10.1145/3093337.3037706

  • Dinh T, Wang J, Chen G, Liu R, Ooi B and Tan K. BLOCKBENCH. Proceedings of the 2017 ACM International Conference on Management of Data. (1085-1100).

    https://doi.org/10.1145/3035918.3064033

  • Su C, Crooks N, Ding C, Alvisi L and Xie C. Bringing Modular Concurrency Control to the Next Level. Proceedings of the 2017 ACM International Conference on Management of Data. (283-297).

    https://doi.org/10.1145/3035918.3064031

  • Van Aken D, Pavlo A, Gordon G and Zhang B. Automatic Database Management System Tuning Through Large-scale Machine Learning. Proceedings of the 2017 ACM International Conference on Management of Data. (1009-1024).

    https://doi.org/10.1145/3035918.3064029

  • Huang J, Mozafari B, Schoenebeck G and Wenisch T. A Top-Down Approach to Achieving Performance Predictability in Database Systems. Proceedings of the 2017 ACM International Conference on Management of Data. (745-758).

    https://doi.org/10.1145/3035918.3064016

  • Wu Y, Guo W, Chan C and Tan K. Fast Failure Recovery for Main-Memory DBMSs on Multicores. Proceedings of the 2017 ACM International Conference on Management of Data. (267-281).

    https://doi.org/10.1145/3035918.3064011

  • Wang X, Meliou A and Wu E. QFix. Proceedings of the 2017 ACM International Conference on Management of Data. (1369-1384).

    https://doi.org/10.1145/3035918.3035925

  • Dashti M, Basil John S, Shaikhha A and Koch C. Transaction Repair for Multi-Version Concurrency Control. Proceedings of the 2017 ACM International Conference on Management of Data. (235-250).

    https://doi.org/10.1145/3035918.3035919

  • Huang J, Mozafari B and Wenisch T. Statistical Analysis of Latency Through Semantic Profiling. Proceedings of the Twelfth European Conference on Computer Systems. (64-79).

    https://doi.org/10.1145/3064176.3064179

  • Michael N, Ramannavar N, Shen Y, Patil S and Sung J. CloudPerf. Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering. (189-200).

    https://doi.org/10.1145/3030207.3044530

  • Coelho F, Paulo J, Vilaça R, Pereira J and Oliveira R. HTAPBench. Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering. (293-304).

    https://doi.org/10.1145/3030207.3030228

  • Garg A, Mishra D and Kulkarni P. Catalyst. Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments. (44-59).

    https://doi.org/10.1145/3050748.3050760

  • Agarwal N and Wenisch T. Thermostat. Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems. (631-644).

    https://doi.org/10.1145/3037697.3037706

  • Shi X, Cui B, Dobbie G and Ooi B. (2016). UniAD. ACM Transactions on Database Systems. 42:1. (1-42). Online publication date: 31-Mar-2017.

    https://doi.org/10.1145/3009957

  • Kim S, Kim H, Lee J and Jeong J. Enlightening the I/O path. Proceedings of the 15th Usenix Conference on File and Storage Technologies. (345-358).

    /doi/10.5555/3129633.3129664

  • Harding R, Van Aken D, Pavlo A and Stonebraker M. (2017). An evaluation of distributed concurrency control. Proceedings of the VLDB Endowment. 10:5. (553-564). Online publication date: 1-Jan-2017.

    https://doi.org/10.14778/3055540.3055548

  • Serafini M, Taft R, Elmore A, Pavlo A, Aboulnaga A and Stonebraker M. (2016). Clay. Proceedings of the VLDB Endowment. 10:4. (445-456). Online publication date: 1-Nov-2016.

    https://doi.org/10.14778/3025111.3025125

  • Sallam A, Fadolalkarim D, Bertino E and Xiao Q. (2016). Data and syntax centric anomaly detection for relational databases. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 6:6. (231-239). Online publication date: 1-Nov-2016.

    https://doi.org/10.1002/widm.1195

  • Yan M, Shalabi Y and Torrellas J. Replayconfusion. The 49th Annual IEEE/ACM International Symposium on Microarchitecture. (1-14).

    /doi/10.5555/3195638.3195685

  • Nathan S, Bellur U and Kulkarni P. (2016). On Selecting the Right Optimizations for Virtual Machine Migration. ACM SIGPLAN Notices. 51:7. (37-49). Online publication date: 11-Oct-2016.

    https://doi.org/10.1145/3007611.2892247

  • Papadopoulos A, Ali-Eldin A, Årzén K, Tordsson J and Elmroth E. (2016). PEAS. ACM Transactions on Modeling and Performance Evaluation of Computing Systems. 1:4. (1-31). Online publication date: 21-Sep-2016.

    https://doi.org/10.1145/2930659

  • Yoon D, Niu N and Mozafari B. DBSherlock. Proceedings of the 2016 International Conference on Management of Data. (1599-1614).

    https://doi.org/10.1145/2882903.2915218

  • Wang X, Meliou A and Wu E. QFix. Proceedings of the 2016 International Conference on Management of Data. (2177-2180).

    https://doi.org/10.1145/2882903.2899388

  • Basu D, Lin Q, Chen W, Vo H, Yuan Z, Senellart P and Bressan S. Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII - Volume 9940. (96-132).

    https://doi.org/10.1007/978-3-662-53455-7_5

  • Farias V, Sousa F, Maia J, Gomes J and Machado J. Elastic provisioning for cloud databases with uncertainty management. Proceedings of the 31st Annual ACM Symposium on Applied Computing. (390-397).

    https://doi.org/10.1145/2851613.2851621

  • Nathan S, Bellur U and Kulkarni P. On Selecting the Right Optimizations for Virtual Machine Migration. Proceedings of the12th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments. (37-49).

    https://doi.org/10.1145/2892242.2892247

  • Chen Q, Liang L, Xia Y, Chen H and Kim H. Mitigating sync amplification for copy-on-write virtual disk. Proceedings of the 14th Usenix Conference on File and Storage Technologies. (241-247).

    /doi/10.5555/2930583.2930601

  • Ben Ishak M, Leray P and Ben Amor N. (2016). Probabilistic relational model benchmark generation. Intelligent Data Analysis. 20:3. (615-635). Online publication date: 1-Jan-2016.

    https://doi.org/10.3233/IDA-160823

  • Leitner P and Scheuner J. Bursting with possibilities. Proceedings of the 8th International Conference on Utility and Cloud Computing. (227-236).

    /doi/10.5555/3233397.3233432

  • Basu D, Lin Q, Chen W, Vo H, Yuan Z, Senellart P and Bressan S. Cost-Model Oblivious Database Tuning with Reinforcement Learning. Proceedings, Part I, of the 26th International Conference on Database and Expert Systems Applications - Volume 9261. (253-268).

    https://doi.org/10.1007/978-3-319-22849-5_18

  • Zhang Q, Dai Y and Zhang L. DSwitch. Proceedings of the Sixth ACM Symposium on Cloud Computing. (71-83).

    https://doi.org/10.1145/2806777.2806850

  • Nathan S, Bellur U and Kulkarni P. Towards a comprehensive performance model of virtual machine live migration. Proceedings of the Sixth ACM Symposium on Cloud Computing. (288-301).

    https://doi.org/10.1145/2806777.2806838

  • Agrawal V, Dabral A, Palit T, Shen Y and Ferdman M. (2015). Architectural Support for Dynamic Linking. ACM SIGARCH Computer Architecture News. 43:1. (691-702). Online publication date: 29-May-2015.

    https://doi.org/10.1145/2786763.2694392

  • Bailis P, Fekete A, Franklin M, Ghodsi A, Hellerstein J and Stoica I. Feral Concurrency Control. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. (1327-1342).

    https://doi.org/10.1145/2723372.2737784

  • Van Aken D, Difallah D, Pavlo A, Curino C and Cudré-Mauroux P. BenchPress. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. (1069-1073).

    https://doi.org/10.1145/2723372.2735354

  • Wylot M, Cudre-Mauroux P and Groth P. Executing Provenance-Enabled Queries over Web Data. Proceedings of the 24th International Conference on World Wide Web. (1275-1285).

    https://doi.org/10.1145/2736277.2741143

  • Agrawal V, Dabral A, Palit T, Shen Y and Ferdman M. (2015). Architectural Support for Dynamic Linking. ACM SIGPLAN Notices. 50:4. (691-702). Online publication date: 12-May-2015.

    https://doi.org/10.1145/2775054.2694392

  • Agrawal V, Dabral A, Palit T, Shen Y and Ferdman M. Architectural Support for Dynamic Linking. Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems. (691-702).

    https://doi.org/10.1145/2694344.2694392

  • Gracia-Tinedo R, Harnik D, Naor D, Sotnikov D, Toledo S and Zuck A. SDGen. Proceedings of the 13th USENIX Conference on File and Storage Technologies. (317-330).

    /doi/10.5555/2750482.2750506

  • Bailis P, Fekete A, Franklin M, Ghodsi A, Hellerstein J and Stoica I. (2014). Coordination avoidance in database systems. Proceedings of the VLDB Endowment. 8:3. (185-196). Online publication date: 1-Nov-2014.

    https://doi.org/10.14778/2735508.2735509

  • Shi X, Cui B, Dobbie G and Ooi B. Towards unified ad-hoc data processing. Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. (1263-1274).

    https://doi.org/10.1145/2588555.2610492

  • Merkle P and Stier C. Modelling database lock-contention in architecture-level performance simulation. Proceedings of the 5th ACM/SPEC international conference on Performance engineering. (285-288).

    https://doi.org/10.1145/2568088.2576762