June 3, 2019 Conference paper Open Access

Shi, Zeshun; Zhou, Huan; Hu, Yang; Surbiryala, Jayachander; de Laat, Cees; Zhao, Zhiming

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    <subfield code="d">3-7 June 2019</subfield>
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    <subfield code="a">the 18th IEEE international symposium on parallel and distributed computing</subfield>
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    <subfield code="u">University of Amsterdam</subfield>
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    <subfield code="a">Operating Permissioned Blockchain in Clouds: A Performance Study of Hyperledger Sawtooth</subfield>
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    <subfield code="a">&lt;p&gt;With ever more IoT (Internet of Things) and big&lt;/p&gt;

&lt;p&gt;data applications, the emerging blockchain techniques provide&lt;/p&gt;

&lt;p&gt;fundamental supports to credibly track the transactions of&lt;/p&gt;

&lt;p&gt;digital assets. Public blockchains, e.g., bitcoin, are often energyconsuming&lt;/p&gt;

&lt;p&gt;and low efficient. Therefore, an empirical study of&lt;/p&gt;

&lt;p&gt;operating permissioned blockchains in clouds is urgently needed.&lt;/p&gt;

&lt;p&gt;In this paper, we study the performance of Sawtooth, a wellknown&lt;/p&gt;

&lt;p&gt;permissioned blockchain platforms from Hyperledger, in&lt;/p&gt;

&lt;p&gt;cloud environments. Our results provide insights for blockchain&lt;/p&gt;

&lt;p&gt;operators to optimize the performance of Sawtooth through&lt;/p&gt;

&lt;p&gt;adjusting the two configuration parameters, i.e., Scheduler and&lt;/p&gt;

&lt;p&gt;Maximum Batches Per Block. Our approach can be used to test&lt;/p&gt;

&lt;p&gt;other blockchain platforms.&lt;/p&gt;</subfield>
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    <subfield code="a">10.1109/ISPDC.2019.00010</subfield>
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