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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.10612 |
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| _version_ | 1866915109743362048 |
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| author | Xiang, Zhuolun Li, Zekun Arun, Balaji Zhang, Teng Spiegelman, Alexander |
| author_facet | Xiang, Zhuolun Li, Zekun Arun, Balaji Zhang, Teng Spiegelman, Alexander |
| contents | End-to-end blockchain latency has become a critical topic of interest in both academia and industry. However, while modern blockchain systems process transactions through multiple stages, most research has primarily focused on optimizing the latency of the Byzantine Fault Tolerance consensus component.
In this work, we identify key sources of latency in blockchain systems and introduce Zaptos, a parallel pipelined architecture designed to minimize end-to-end latency while maintaining the high-throughput of pipelined blockchains.
We implemented Zaptos and evaluated it against the pipelined architecture of the Aptos blockchain in a geo-distributed environment. Our evaluation demonstrates a 25\% latency reduction under low load and over 40\% reduction under high load. Notably, Zaptos achieves a throughput of 20,000 transactions per second with sub-second latency, surpassing previously reported blockchain throughput, with sub-second latency, by an order of magnitude. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_10612 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Zaptos: Towards Optimal Blockchain Latency Xiang, Zhuolun Li, Zekun Arun, Balaji Zhang, Teng Spiegelman, Alexander Distributed, Parallel, and Cluster Computing Cryptography and Security End-to-end blockchain latency has become a critical topic of interest in both academia and industry. However, while modern blockchain systems process transactions through multiple stages, most research has primarily focused on optimizing the latency of the Byzantine Fault Tolerance consensus component. In this work, we identify key sources of latency in blockchain systems and introduce Zaptos, a parallel pipelined architecture designed to minimize end-to-end latency while maintaining the high-throughput of pipelined blockchains. We implemented Zaptos and evaluated it against the pipelined architecture of the Aptos blockchain in a geo-distributed environment. Our evaluation demonstrates a 25\% latency reduction under low load and over 40\% reduction under high load. Notably, Zaptos achieves a throughput of 20,000 transactions per second with sub-second latency, surpassing previously reported blockchain throughput, with sub-second latency, by an order of magnitude. |
| title | Zaptos: Towards Optimal Blockchain Latency |
| topic | Distributed, Parallel, and Cluster Computing Cryptography and Security |
| url | https://arxiv.org/abs/2501.10612 |