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dc.contributor.authorMOONHYEON, CHUNG-
dc.contributor.authorPARK, CHAN IK-
dc.date.accessioned2023-02-23T07:41:10Z-
dc.date.available2023-02-23T07:41:10Z-
dc.date.created2023-02-23-
dc.date.issued2022-10-19-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/115573-
dc.description.abstractEthereum is one of the most actively used blockchain platforms that supports various decentralized services such as DeFi, NFT, and the Metaverse. Such services are enabled by Solidity smart contracts. A block is mined by executing a batch of transactions and reaching an agreement among consensus nodes. However, since the execution model of Ethereum is Order-Execute, all transactions must be ordered first and executed sequentially, resulting in limited block feed to consensus phase. This may lead to underutilization of consensus capacity. In this paper, we propose a parallel execution model for Solidity smart contracts using append-only shared logs. The parallel execution model consists of the following components: (1) key-value state sharding, (2) Solidity simulation module for each shard, (3) append-only log shared among Solidity simulation module; Append-only log stores the read-write set of a transaction in each entry, (4) the block mining module that is responsible for creating a block based on the shared log information and initiating the block consensus phase.-
dc.languageEnglish-
dc.publisherIEEE Computer Society-
dc.relation.isPartOf13th International Conference on Information and Communication Technology Convergence, ICTC 2022-
dc.relation.isPartOfInternational Conference on ICT Convergence-
dc.titleParallel Execution of Solidity Smart Contract using Append-only Shared Log-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation13th International Conference on Information and Communication Technology Convergence, ICTC 2022, pp.1722 - 1725-
dc.citation.conferenceDate2022-10-19-
dc.citation.conferencePlaceKO-
dc.citation.endPage1725-
dc.citation.startPage1722-
dc.citation.title13th International Conference on Information and Communication Technology Convergence, ICTC 2022-
dc.contributor.affiliatedAuthorMOONHYEON, CHUNG-
dc.contributor.affiliatedAuthorPARK, CHAN IK-
dc.identifier.scopusid2-s2.0-85143253498-
dc.description.journalClass1-
dc.description.journalClass1-

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박찬익PARK, CHAN IK
Dept of Computer Science & Enginrg
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