Jinliang Xiao

dblp:344/5321 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 3 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
3 papers
Transaction processing and concurrency control · 54% Distributed and cloud data management · 46%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Transaction processing and concurrency control
distributed transaction processing
1.522025
An Efficient Two-Round Distributed Transaction Processing Approach over Heterogeneous Networks · VLDB J. 2025
Efficient Distributed Transaction Processing in Heterogeneous Networks · Proc. VLDB Endow. 2023
Distributed and cloud data management
distributed database architecture
0.712023
OceanBase Paetica: A Hybrid Shared-nothing/Shared-everything Database for Supporting Single Machine and Distributed Cluster · Proc. VLDB Endow. 2023
Distributed systems
heterogeneous networks
0.312025
An Efficient Two-Round Distributed Transaction Processing Approach over Heterogeneous Networks · VLDB J. 2025
Distributed systems › distributed database › commit protocol
two-phase commit
0.212023
Efficient Distributed Transaction Processing in Heterogeneous Networks · Proc. VLDB Endow. 2023

Methods — techniques the papers use, named apart from their topics

TCP/IP · 1.3RDMA · 1.3parallel execution · 0.7adaptive configuration · 0.7
YearPublicationVenuePosition
2025 An Efficient Two-Round Distributed Transaction Processing Approach over Heterogeneous Networks
Hongyao Zhao, Wei Lu 0015, Zhanhao Zhao, Yinhao Hong, Quanqing Xu, Jinliang Xiao, Fusheng Han, Chuanhui Yang, Xiaoyong Du 0001
VLDB J.6
2023 OceanBase Paetica: A Hybrid Shared-nothing/Shared-everything Database for Supporting Single Machine and Distributed Cluster
abstract
In the ongoing evolution of the OceanBase database system, it is essential to enhance its adaptability to small-scale enterprises. The OceanBase database system has demonstrated its stability and effectiveness within the Ant Group and other commercial organizations, besides through the TPC-C and TPC-H tests. In this paper, we have designed a stand-alone and distributed integrated architecture named Paetica to address the overhead caused by the distributed components in the stand-alone mode, with respect to the OceanBase system. Paetica enables adaptive configuration of the database that allows OceanBase to support both serial and parallel executions in stand-alone and distributed scenarios, thus providing efficiency and economy. This design has been implemented in version 4.0 of the OceanBase system, and the experiments show that Paetica exhibits notable scalability and outperforms alternative stand-alone or distributed databases. Furthermore, it enables the transition of OceanBase from primarily serving large enterprises to truly catering to small and medium enterprises, by employing a single OceanBase database for the successive stages of enterprise or business development, without the requirement for migration. Our experiments confirm that Paetica has achieved linear scalability with the increasing CPU core number within the stand-alone mode. It also outperforms MySQL and Greenplum in the Sysbench and TPC-H evaluations.
Zhifeng Yang, Quanqing Xu, Shanyan Gao, Chuanhui Yang, Yuzhong Zhao, Fanyu Kong 0004, Wanhong Wang, Jinliang Xiao
Proc. VLDB Endow.10
2023 Efficient Distributed Transaction Processing in Heterogeneous Networks
abstract
Countrywide and worldwide business, like gaming and social networks, drives the popularity of inter-data-center transactions. To support inter-data-center transaction processing and data center fault tolerance simultaneously, existing protocols suffer from significant performance degradation due to high-latency and unstable networks. In this paper, we propose RedT, a novel distributed transaction processing protocol that works in heterogeneous networks. In detail, nodes within a data center are inter-connected via the RDMA-capable network and nodes across data centers are inter-connected via TCP/IP networks. RedT extends two-phase commit (2PC) by decomposing transactions into sub-transactions in terms of the data center granularity, and proposing a pre-write-log mechanism that is able to reduce the number of inter-data-center round-trips from a maximal of 6 to 2. Extensive evaluation against state-of-the-art protocols shows that RedT can achieve up to 1.57× higher throughputs and 0.56× lower latency.
Hongyao Zhao, Quanqing Xu, Wei Lu 0015, Jinliang Xiao, Fusheng Han, Chuanhui Yang, Xiaoyong Du 0001
Proc. VLDB Endow.6