КОНФЕРЕНЦІЇ ВНТУ електронні наукові видання, 
Молодь в науці: дослідження, проблеми, перспективи (МН-2026)

Розмір шрифта: 
ARCHITECTURE-AWARE TRANSACTION SCHEDULING METHODOLOGY IN HIGH-LOAD BLOCKCHAIN NETWORKS
Максим Васильович Бистрик

Остання редакція: 2026-02-18

Анотація


The paper addresses the issue of Hyperledger Besu blockchain node performance degradation in high-load networks caused by the State Bloat phenomenon. An architecture-aware transaction scheduling methodology, RATEM, is proposed based on prefix-based request clustering to optimize Last Level Cache (LLC) utilization. The mechanisms of interaction between the proposed method, the JVM runtime environment, and hardware prefetching units are substantiated. Theoretical analysis indicates a potential 10–15% reduction in average RPC request processing latency.

Ключові слова


Blockchain, Hyperledger Besu, Merkle Patricia Trie, L3 cache, transaction scheduling, architectureaware method, JVM.

Посилання


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3. Mittal, S. (2016). A survey of techniques for managing last-level caches. ACM Computing Surveys (CSUR), 48(3), 1-50. https://doi.org/10.1145/2856125

4. Shipilëv, A. (2014). JVM Anatomy Park #2: Layouts. https://shipilev.net/jvm/anatomy-quarks/2-layout/

5. Kushwaha, S. S., et al. (2022). Performance Analysis of Hyperledger Besu for Private Blockchain Networks. 2022 IEEE International Conference on Blockchain. https://doi.org/10.1109/Blockchain55525.2022.00063


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