SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain

Min Fang, Xinna Zhou, Zhao Zhang, Cheqing Jin, Aoying Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

The current blockchain system suffers from serious scalability bottleneck, which greatly limits the application in large-scale. Furthermore, with the emergence of high-throughput consensus algorithms in permissioned blockchain, how to efficiently execute smart contracts becomes a critical challenge. To solve this issue, a two-phase concurrent execution mechanism has been adopted recently, where the primary executes a batch of transactions concurrently in the first phase, then the rest replays them in the second phase to achieve consistency. However, these works only enable intra-node concurrency, not inter-node concurrency. This demonstration showcases SEFrame, a novel execution framework for smart contracts of permissioned blockchain to achieve intra- and inter-node concurrency with the confidentiality guarantee of Intel Software Guard Extensions (SGX). We use real-time dashboards containing the output of SEFrame, which allows attendees to interactively explore how SEFrame achieves efficient inter- and intra-node concurrency.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022
PublisherIEEE Computer Society
Pages3166-3169
Number of pages4
ISBN (Electronic)9781665408837
DOIs
StatePublished - 2022
Event38th IEEE International Conference on Data Engineering, ICDE 2022 - Virtual, Online, Malaysia
Duration: 9 May 202212 May 2022

Publication series

NameProceedings - International Conference on Data Engineering
Volume2022-May
ISSN (Print)1084-4627
ISSN (Electronic)2375-0286

Conference

Conference38th IEEE International Conference on Data Engineering, ICDE 2022
Country/TerritoryMalaysia
CityVirtual, Online
Period9/05/2212/05/22

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