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Shangjun Han

dblp:345/2158 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Distributed and cloud data management › geo-distributed data management
geo-replicated database
0.712023
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
0.712023
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
0.712023
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
0.212023
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database · Proc. ACM Manag. Data 2023
Distributed systems
replication
0.212023
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
YearPublicationVenuePosition
2023 GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
abstract
Multinational 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. Data11