VLDB 2026 Research / reviewers in the wild / expert
Shangjun Han
dblp:345/2158
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0008-9987-7625ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Transaction processing and concurrency control · 67% Distributed and cloud data management · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management › geo-distributed data management
geo-replicated database |
0.7 | 1 | 2023 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database · Proc. ACM Manag. Data 2023 |
Transaction processing and concurrency control › concurrency control
optimistic concurrency control |
0.7 | 1 | 2023 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database · Proc. ACM Manag. Data 2023 |
Transaction processing and concurrency control › consistency
strong consistency |
0.7 | 1 | 2023 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database · Proc. ACM Manag. Data 2023 |
Distributed systems › replication › database replication
multi-master replication |
0.2 | 1 | 2023 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database · Proc. ACM Manag. Data 2023 |
Distributed systems
replication |
0.2 | 1 | 2023 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database · Proc. ACM Manag. Data 2023 |
Methods — techniques the papers use, named apart from their topics
optimistic asynchronous execution · 1.3epoch-based delta state merge · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL DatabaseabstractMultinational enterprises conduct global business that has a demand for geo-distributed transactional databases. Existing state-of-the-art databases adopt a sharded master-follower replication architecture. However, the single-master serving mode incurs massive cross-region writes from clients, and the sharded architecture requires multiple round-trip acknowledgments (e.g., 2PC) to ensure atomicity for cross-shard transactions. These limitations drive us to seek yet another design choice. In this paper, we propose a strongly consistent OLTP database GeoGauss with full replica multi-master architecture. To efficiently merge the updates from different master nodes, we propose a multi-master OCC that unifies data replication and concurrent transaction processing. By leveraging an epoch-based delta state merge rule and the optimistic asynchronous execution, GeoGauss ensures strong consistency with light-coordinated protocol and allows more concurrency with weak isolation, which are sufficient to meet our needs. Our geo-distributed experimental results show that GeoGauss achieves 7.06X higher throughput and 17.41X lower latency than the state-of-the-art geo-distributed database CockroachDB on the TPC-C benchmark. Weixing Zhou, Qi Peng 0004, Zijie Zhang 0005, Yanfeng Zhang 0001, Sihao Li, Guo Fu, Yulong Cui, Caiyi Wu, Shangjun Han, Guoliang Li 0001, Ge Yu 0001 |
Proc. ACM Manag. Data | 11 |