Hyra: Scalable Byzantine-Resilient State Storage Engine with Hierarchical Erasure-Coding

Account-based blockchains maintain evolving state data, such as account balances, across all replicas to ensure consistency. However, the traditional full-replication model incurs significant storage overhead and limits scalability, especially as transaction throughput increases. While partitioning is a natural solution, applying it to blockchain state is challenging due to structural dependencies, verifiability requirements, and the presence of Byzantine faults. We present Hyra, a scalable state storage engine that enables fault-tolerant and efficient state partitioning. Hyra introduces: (i) locality-aware partitioning with embedded indexing to preserve access efficiency; (ii) hierarchical erasure coding with sub-chunk recovery to minimize decoding overhead; and (iii) a hybrid verification mechanism that combines vector commitments and Merkle trees for fine-grained integrity checking. Our design achieves provably optimal redundancy while maintaining constant per-replica storage overhead. Experiments show that Hyra reduces storage by up to 92.3% without compromising performance.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Management of Data
Published
2026-04-02
DOI
https://doi.org/10.1145/3786658
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hyra: Scalable Byzantine-Resilient State Storage Engine with Hierarchical Erasure-Coding

Aoying Zhou, Xiaodong Qi, Yanqin Yang, Cheqing Jin et al.
Proceedings of the ACM on Management of Data
Distributed systems and fault tolerance
article

Hyra: Scalable Byzantine-Resilient State Storage Engine with Hierarchical Erasure-Coding

Aoying Zhou, Xiaodong Qi, Yanqin Yang, Cheqing Jin, Qifeng Que
article en

Abstract

Account-based blockchains maintain evolving state data, such as account balances, across all replicas to ensure consistency. However, the traditional full-replication model incurs significant storage overhead and limits scalability, especially as transaction throughput increases. While partitioning is a natural solution, applying it to blockchain state is challenging due to structural dependencies, verifiability requirements, and the presence of Byzantine faults. We present Hyra, a scalable state storage engine that enables fault-tolerant and efficient state partitioning. Hyra introduces: (i) locality-aware partitioning with embedded indexing to preserve access efficiency; (ii) hierarchical erasure coding with sub-chunk recovery to minimize decoding overhead; and (iii) a hybrid verification mechanism that combines vector commitments and Merkle trees for fine-grained integrity checking. Our design achieves provably optimal redundancy while maintaining constant per-replica storage overhead. Experiments show that Hyra reduces storage by up to 92.3% without compromising performance.

Proceedings of the ACM on Management of DataVol. 4(1)
Nanyang Technological University (SG), East China Normal University (CN)
Openalex Percentile: Top 20%
Distributed systems and fault tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.