LB-Louvain: Balancing Transaction Locality and Shard Load in Account-Based State Sharding

Account-based state sharding improves blockchain parallelism by distributing account states and transaction execution across physical shards, but effective placement must preserve transaction locality without concentrating processing demand on a small number of shards. This paper presents LB-Louvain, a coarse-to-fine account-partitioning heuristic in which standard Louvain first extracts logical communities, followed by load-aware community-to-shard assignment and restricted boundary-account refinement. In controlled BlockEmulator experiments using 300,000 replayed Ethereum transactions and five repeated system runs per configuration, relative to CLPA, the complete LB-Louvain pipeline reduces the mean cross-shard transaction ratio by approximately 2.1%, increases active throughput by approximately 19.7%, and reduces average confirmation latency by approximately 9.4%. Component-wise ablation confirms complementary roles for load-aware assignment and boundary refinement. The evaluated behavior remains stable over β∈[1,4], while partition-only profiling keeps the measured partition computation below 100 ms across the tested 50,000–300,000 transaction prefixes and 4–24 physical shards. An auxiliary migration experiment further shows that Fine-Grained activation reduces the observed migration-deferred set by approximately 39.8% relative to Full Locking while maintaining comparable throughput and confirmation latency. Broader archived experiments with Monoxide and CLPA are retained separately from the controlled revision results.

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Publication Details

Journal
Applied Sciences
Published
2026-09-09
DOI
https://doi.org/10.3390/app16188959
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

LB-Louvain: Balancing Transaction Locality and Shard Load in Account-Based State Sharding

Kuan Fan, Jiahui Du, Zhen Luan
Applied Sciences
Cloud Computing and Resource Management
article

LB-Louvain: Balancing Transaction Locality and Shard Load in Account-Based State Sharding

Kuan Fan, Jiahui Du, Zhen Luan
article en

Abstract

Account-based state sharding improves blockchain parallelism by distributing account states and transaction execution across physical shards, but effective placement must preserve transaction locality without concentrating processing demand on a small number of shards. This paper presents LB-Louvain, a coarse-to-fine account-partitioning heuristic in which standard Louvain first extracts logical communities, followed by load-aware community-to-shard assignment and restricted boundary-account refinement. In controlled BlockEmulator experiments using 300,000 replayed Ethereum transactions and five repeated system runs per configuration, relative to CLPA, the complete LB-Louvain pipeline reduces the mean cross-shard transaction ratio by approximately 2.1%, increases active throughput by approximately 19.7%, and reduces average confirmation latency by approximately 9.4%. Component-wise ablation confirms complementary roles for load-aware assignment and boundary refinement. The evaluated behavior remains stable over β∈[1,4], while partition-only profiling keeps the measured partition computation below 100 ms across the tested 50,000–300,000 transaction prefixes and 4–24 physical shards. An auxiliary migration experiment further shows that Fine-Grained activation reduces the observed migration-deferred set by approximately 39.8% relative to Full Locking while maintaining comparable throughput and confirmation latency. Broader archived experiments with Monoxide and CLPA are retained separately from the controlled revision results.

Applied SciencesVol. 16(18)
Qinhuangdao Science and Technology Bureau (CN), Northeastern University (CN)
Reduced inequalities
Openalex Percentile: Top 4%
Cloud Computing and Resource Management
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