Industrial-Strength OLTP Using Main Memory and Many Cores
Summary: Industrial-strength OLTP: main-memory, many-core optimized storage engine for GaussDB/openGauss; from research prototype to production, with full integration. Benchmarks show >2.5x TPC-C on x86 multi-core and ARM Kunpeng, highlighting cross-architecture performance gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hillel Avni
- 2. Alisher Aliev
- 3. Oren Amor
- 4. Aharon Avitzur
- 5. Ilan Bronshtein
- 6. Eli Ginot
- 7. Shay Goikhman
- 8. Eliezer Levy
- 9. Idan Levy
- 10. Fuyang Lu
- 11. Liran Mishali
- 12. Yeqin Mo
- 13. Nir Pachter
- 14. Dima Sivov
- 15. Vinoth Veeraraghavan
- 16. Vladi Vexler
- 17. Lei Wang
- 18. Peng Wang
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,865 | ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency | 2022 | VLDB | 5.296893e-05 |
| 7,077 | Skeena: Efficient and Consistent Cross-Engine Transactions | 2022 | SIGMOD | 4.8425226e-05 |
| 7,697 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database | 2023 | SIGMOD | 4.6753193e-05 |
| 8,355 | A system design for elastically scaling transaction processing engines in virtualized servers | 2020 | VLDB | 4.5381474e-05 |
| 9,634 | HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine | 2022 | SIGMOD | 4.3122147e-05 |
| 9,799 | CloudJump: Optimizing Cloud Databases for Cloud Storages | 2022 | VLDB | 4.2818172e-05 |
| 10,636 | Concurrency Control as a Service | 2025 | VLDB | 4.1945683e-05 |
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next