Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution

Ivan Laishevskiy; Artem Barger; Vladimir Gorgadze

doi:10.1109/coins57856.2023.10189331

Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution

Ivan Laishevskiy, Artem Barger, Vladimir Gorgadze

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Hyperledger Fabric, a renowned permissioned blockchain platform, offers flexibility and customization through its simulate-ordervalidate paradigm and pluggable architecture. The world state database, a critical component in Hyperledger Fabric, captures the current state of blockchain applications. This study explores alternative state database implementations, including RocksDB, Boltdb, and BadgerDB, and evaluates their performance using diverse workloads, with a focus on memory and CPU utilization. Experimental results indicate that the evaluated alternatives surpass the default LevelDB and CouchDB provided by Hyperledger Fabric. Specifically, BadgerDB exhibits the highest throughput and lowest latency and bbolt demonstrates superior memory utilization efficiency. Moreover, we provide guidance on integrating new state databases into Hyperledger Fabric and present valuable insights for blockchain researchers and practitioners. By showcasing significant performance improvements, our research contributes to the advancement of enterprise blockchain technology and fosters scalability in permissioned blockchain systems.

Original language	English
Title of host publication	2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350346473
DOIs	https://doi.org/10.1109/coins57856.2023.10189331
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023 - Berlin, Germany Duration: 23 Jul 2023 → 25 Jul 2023

Publication series

Name	2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023

Conference

Conference	2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023
Country/Territory	Germany
City	Berlin
Period	23/07/23 → 25/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Blockchain
Database
Hyperledger Fabric
Key Value Store
Performance

ASJC Scopus subject areas

Artificial Intelligence
Control and Optimization
Information Systems

Access to Document

10.1109/coins57856.2023.10189331

Cite this

Laishevskiy, I., Barger, A., & Gorgadze, V. (2023). Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution. In 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023 (2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/coins57856.2023.10189331

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Laishevskiy, I, Barger, A & Gorgadze, V 2023, Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution. in 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023. 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023, Berlin, Germany, 23/07/23. https://doi.org/10.1109/coins57856.2023.10189331

Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution. / Laishevskiy, Ivan; Barger, Artem; Gorgadze, Vladimir.
2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Gorgadze, Vladimir

PY - 2023

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N2 - Hyperledger Fabric, a renowned permissioned blockchain platform, offers flexibility and customization through its simulate-ordervalidate paradigm and pluggable architecture. The world state database, a critical component in Hyperledger Fabric, captures the current state of blockchain applications. This study explores alternative state database implementations, including RocksDB, Boltdb, and BadgerDB, and evaluates their performance using diverse workloads, with a focus on memory and CPU utilization. Experimental results indicate that the evaluated alternatives surpass the default LevelDB and CouchDB provided by Hyperledger Fabric. Specifically, BadgerDB exhibits the highest throughput and lowest latency and bbolt demonstrates superior memory utilization efficiency. Moreover, we provide guidance on integrating new state databases into Hyperledger Fabric and present valuable insights for blockchain researchers and practitioners. By showcasing significant performance improvements, our research contributes to the advancement of enterprise blockchain technology and fosters scalability in permissioned blockchain systems.

AB - Hyperledger Fabric, a renowned permissioned blockchain platform, offers flexibility and customization through its simulate-ordervalidate paradigm and pluggable architecture. The world state database, a critical component in Hyperledger Fabric, captures the current state of blockchain applications. This study explores alternative state database implementations, including RocksDB, Boltdb, and BadgerDB, and evaluates their performance using diverse workloads, with a focus on memory and CPU utilization. Experimental results indicate that the evaluated alternatives surpass the default LevelDB and CouchDB provided by Hyperledger Fabric. Specifically, BadgerDB exhibits the highest throughput and lowest latency and bbolt demonstrates superior memory utilization efficiency. Moreover, we provide guidance on integrating new state databases into Hyperledger Fabric and present valuable insights for blockchain researchers and practitioners. By showcasing significant performance improvements, our research contributes to the advancement of enterprise blockchain technology and fosters scalability in permissioned blockchain systems.

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Laishevskiy I, Barger A, Gorgadze V. Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution. In 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023). doi: 10.1109/coins57856.2023.10189331

Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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