@inproceedings{ca765c9eaba64483890dbad84ef7205b,
title = "Towards High-performance Transactions via Hierarchical Blockchain Sharding",
abstract = "Blockchain sharding, a promising approach to improve system performance, divides the network into several small parallel working shards. However, the performance of existing sharded blockchain systems may degrade seriously due to the existence of cross-shard transactions. To overcome such drawbacks, we propose a blockchain system called HieraChain to process transactions with robust cross-shard transactions tolerance, based on a novel hierarchical sharding architecture. The upper-layer shards order the cross-shard transactions and the participants process them asynchronously to pipeline the transactions ordering. Furthermore, HieraChain proposes an optimized locality-aware protocol to trade off the local access patterns and the induced remote access events. Extensive experimental results demonstrate that HieraChain outperforms the state-of-the-art approaches significantly in the presence of cross-shard transactions, achieving up to 3× and 2× higher throughput than Saguaro and SharPer under general workload respectively. Moreover, our locality-aware approach further reduces transaction latency by 68 \% and 51\% compared to our basic approach and traditional baselines, respectively.",
keywords = "blockchains, cross-shard transaction, hierarchical sharding, locality-awareness",
author = "Haibo Tang and Huan Zhang and Zhenyu Zhang and Zhao Zhang and Cheqing Jin and Aoying Zhou",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 30th International Conference on Parallel and Distributed Computing, Euro-Par 2024 ; Conference date: 26-08-2024 Through 30-08-2024",
year = "2024",
doi = "10.1007/978-3-031-69577-3\_26",
language = "英语",
isbn = "9783031695766",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "373--388",
editor = "Jesus Carretero and Javier Garcia-Blas and Sameer Shende and Ivona Brandic and Katzalin Olcoz and Martin Schreiber",
booktitle = "Euro-Par 2024",
address = "德国",
}