Fast Commitment for Geo-Distributed Transactions via Decentralized Co-coordinators
Zihao Zhang, Huiqi Hu, Xuan Zhou, Yaofeng Tu, Weining Qian, Aoying Zhou
Abstract
In a geo-distributed database, data shards and their respective replicas are deployed in distinct datacenters across multiple regions, enabling regional-level disaster recovery and the ability to serve global users locally. However, transaction processing in geo-distributed databases requires multiple cross-region communications, especially during the commit phase, which can significantly impact system performance. To optimize the performance of geo-distributed transactions, we propose Decentralized Two-phase Commit (D2PC), a new transaction commit protocol aiming to minimize the negative impact of cross-region communication. In D2PC, we employ multiple cocoordinators that perform commit coordination in parallel. Each co-coordinator is responsible for collecting 2PC votes and making a PreCommit decision in its local region. This approach allows for the concurrent invocation of multiple cross-region network round trips, and each region can conclude its concurrency control locally before replication is complete, thus significantly reducing the chances of blocking and enhancing system concurrency. Moreover, we propose the bypass leader replication reply method, leveraging decentralized co-coordinators to bypass the leader for message transmission, thereby reducing the commit latency. Experimental results have demonstrated that D2PC can reduce commit latency by 43% and improve throughput by up to 2.43 × compared to the existing alternative geo-distributed transaction processing methods.
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Cited by top-tier papers2
- K2: On Optimizing Distributed Transactions in a Multi-region Data Store with True-time ClocksHaoze Song, Yongqi Wang, Xusheng Chen, Hao Feng et al.VLDB 2025 · 7 citations
- Mako: Speculative Distributed Transactions with Geo-ReplicationWeihai Shen, Yang Cui, Siddhartha Sen, Sebastian Angel et al.OSDI 2025 · 4 citations
Builds on6
- Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase LockingZhihan Guo, Kan Wu, Cong Yan, Xiangyao YuSIGMOD 2021 · 44 citations
- Cornus: Atomic Commit for a Cloud DBMS with Storage DisaggregationZhihan Guo, Xinyu Zeng, Kan Wu, Wuh-Chwen Hwang et al.VLDB 2023 · 23 citations
- GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL DatabaseWeixing Zhou, Qi Peng, Zijie Zhang, Yanfeng Zhang et al.SIGMOD 2023 · 10 citations
- STARRY: Multi-master Transaction Processing on Semi-leader ArchitectureZihao Zhang, Huiqi Hu, Xuan Zhou, Jiang WangVLDB 2023 · 7 citations
- Lock Violation for Fault-tolerant Distributed Database System*Hua Guo, Xuan Zhou, Le CaiICDE 2021 · 7 citations
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