Natto: Providing Distributed Transaction Prioritization for High-Contention Workloads
Linguan Yang, Xinan Yan, Bernard Wong
Abstract
This paper introduces Natto, a geo-distributed database system that supports transaction prioritization. Instead of having each shard process transactions in their arrival order, Natto leverages network measurements to estimate the transaction arrival time at each shard, and assigns a timestamp to the transaction based on its arrival time to the furthest shard. These timestamps establish a global ordering of transactions, and introduces opportunities to selectively abort pending low-priority transactions that conflict with a high-priority transaction, or even preempt transactions that are already partially prepared. Our experiments on both Microsoft Azure and a local cluster show that Natto's tail latency for high-priority transactions are significantly lower than the tail latencies of Carousel and TAPIR, which are the current state-of-the-art in geo-distributed transaction processing systems.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext ec24eb21-19dd-44d7-83ea-a27e486b01edCited by top-tier papers6
- Fine-Grained Re-Execution for Efficient Batched Commit of Distributed TransactionsZhiyuan Dong, Zhaoguo Wang, Xiaodong Zhang, Xian Xu et al.VLDB 2023 · 16 citations
- Towards Optimal Transaction SchedulingAudrey Cheng, Aaron N. Kabcenell, Jason Chan, Xiao Shi et al.VLDB 2024 · 14 citations
- Are Database System Researchers Making Correct Assumptions about Transaction Workloads?Cuong D. T. Nguyen, Kevin Chen, Christopher DeCarolis, Daniel J. AbadiSIGMOD 2025 · 4 citations
- Tiga: Accelerating Geo-Distributed Transactions with Synchronized ClocksJinkun Geng, Shuai Mu, Anirudh Sivaraman, Balaji PrabhakarSOSP 2025 · 2 citations
- GeoTP: Latency-Aware Geo-Distributed Transaction Processing in Database MiddlewaresQiyu Zhuang, Xinyue Shi, Shuang Liu, Wei Lu et al.ICDE 2025 · 2 citations
Related papers
- Caerus: Low-Latency Distributed Transactions for Geo-Replicated SystemsJoshua Hildred, Michael Abebe, Khuzaima DaudjeeVLDB 2024 · 10 citations
- Achieving low tail-latency and high scalability for serializable transactions in edge computingXusheng Chen, Haoze Song, Jianyu Jiang, Chaoyi Ruan et al.EuroSys 2021 · 32 citations
- Fast Commitment for Geo-Distributed Transactions via Decentralized Co-coordinatorsZihao Zhang, Huiqi Hu, Xuan Zhou, Yaofeng Tu et al.VLDB 2024 · 3 citations
- Bonspiel: Low Tail Latency Transactions in Geo-Distributed DatabasesFan Cui, Eric Lo, Srijan Srivastava, Ziliang LaiVLDB 2025 · 1 citation
- Mako: Speculative Distributed Transactions with Geo-ReplicationWeihai Shen, Yang Cui, Siddhartha Sen, Sebastian Angel et al.OSDI 2025 · 4 citations
