Operating Permissioned Blockchain in Clouds: A Performance Study of Hyperledger Sawtooth

With ever more IoT (Internet of Things) and bigdata applications, the emerging blockchain techniques provide fundamental supports to credibly track the transactions of digital assets. Public blockchains, e.g., bitcoin, are often energy-consuming and low efficient. Therefore, an empirical study of op...

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Published in2019 18th International Symposium on Parallel and Distributed Computing (ISPDC) pp. 50 - 57
Main Authors Shi, Zeshun, Zhou, Huan, Hu, Yang, Jayachander, Surbiryala, de Laat, Cees, Zhao, Zhiming
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2019
Subjects
Benchmark testing
Bitcoin
Blockchain
Cloud
Cloud computing
Consensus algorithm
Hyperledger Saw tooth
Performance Study
Permissioned Blockchain
Throughput
Online AccessGet full text
DOI10.1109/ISPDC.2019.00010

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Abstract With ever more IoT (Internet of Things) and bigdata applications, the emerging blockchain techniques provide fundamental supports to credibly track the transactions of digital assets. Public blockchains, e.g., bitcoin, are often energy-consuming and low efficient. Therefore, an empirical study of operating permissioned blockchains in clouds is urgently needed. In this paper, we study the performance of Sawtooth, a well-known permissioned blockchain platforms from Hyperledger, in cloud environments. Our results provide insights for blockchain operators to optimize the performance of Sawtooth through adjusting the two configuration parameters, i.e., Scheduler and Maximum Batches Per Block. Our approach can be used to test other blockchain platforms.
AbstractList With ever more IoT (Internet of Things) and bigdata applications, the emerging blockchain techniques provide fundamental supports to credibly track the transactions of digital assets. Public blockchains, e.g., bitcoin, are often energy-consuming and low efficient. Therefore, an empirical study of operating permissioned blockchains in clouds is urgently needed. In this paper, we study the performance of Sawtooth, a well-known permissioned blockchain platforms from Hyperledger, in cloud environments. Our results provide insights for blockchain operators to optimize the performance of Sawtooth through adjusting the two configuration parameters, i.e., Scheduler and Maximum Batches Per Block. Our approach can be used to test other blockchain platforms.
Author Shi, Zeshun
de Laat, Cees
Hu, Yang
Jayachander, Surbiryala
Zhou, Huan
Zhao, Zhiming
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Snippet With ever more IoT (Internet of Things) and bigdata applications, the emerging blockchain techniques provide fundamental supports to credibly track the...
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SubjectTerms Benchmark testing
Bitcoin
Blockchain
Cloud
Cloud computing
Consensus algorithm
Hyperledger Saw tooth
Performance Study
Permissioned Blockchain
Throughput
Title Operating Permissioned Blockchain in Clouds: A Performance Study of Hyperledger Sawtooth
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