1. 华东师范大学数据科学与工程学院,上海 200062
2. MCT Technology,上海 200023
[ "张召(1977- ),女,博士,华东师范大学数据科学与工程学院副教授,主要研究方向为区块链系统研发、分布式数据管理,多项研究成果发表在VLDB、ICDE和DASFAA等数据管理领域的重要国际会议上。先后主持多项国家自然科学基金项目,作为骨干技术人员,参与开发的“面向大型银行应用的高通量可伸缩分布式数据库系统”项目获得2017年教育部高等学校科学研究优秀成果奖(科学技术)科技进步奖一等奖,“支持互联网级关键核心业务的分布式数据库系统”项目获评2019年度国家科学技术进步奖二等奖" ]
[ "田继鑫(1977- ),男,MCT Technology研发部门负责人,主要研究方向为分布式系统开发、互联网系统后台开发及设计,以及比特币、超级账本Fabric以及以太坊等主流区块链系统的架构、源码及应用开发" ]
[ "金澈清(1977- ),男,博士,华东师范大学数据科学与工程学院教授、博士生导师、副院长,中国计算机学会高级会员,数据库专业委员会委员,已发表学术论文100余篇,研究成果曾获得省部级一等奖和二等奖、霍英东教育基金会青年教师奖,担任《计算机研究与发展》编委,主要研究方向为区块链、计算教育学、基于位置的服务等" ]
网络首发:2020-09,
纸质出版:2020-09-15
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张召, 田继鑫, 金澈清. 链上存证、链下传输的可信数据共享平台[J]. 大数据, 2020,6(5):2020047-1.
Zhao ZHANG, Jixin TIAN, Cheqing JIN. On-chain witness and off-chain transmission trustworthy data sharing platform[J]. Big Data Research, 2020, 6(5): 2020047-1.
张召, 田继鑫, 金澈清. 链上存证、链下传输的可信数据共享平台[J]. 大数据, 2020,6(5):2020047-1. DOI: 10.11959/j.issn.2096-0271.2020047.
Zhao ZHANG, Jixin TIAN, Cheqing JIN. On-chain witness and off-chain transmission trustworthy data sharing platform[J]. Big Data Research, 2020, 6(5): 2020047-1. DOI: 10.11959/j.issn.2096-0271.2020047.
区块链系统可以为分享数据的互不信任的多方之间提供可信的基础设施。但是,将原始分享数据直接上链的方式并不适合大规模的数据分享场景。因此,提出了一种数据共享请求和应答记录上链存证、原始数据链下安全传输的数据共享平台架构,该架构在一定程度上可以缓解系统负载过重以及隐私保护方面的问题。最后总结了随着参与节点的增多,以及每秒需要处理的数据共享请求和应答的增多,已有的区块链技术被应用到数据分享和确权领域时,在分布式存储、共识协议、智能合约执行以及轻客户端查询方面面临的挑战以及改进的方向,以期为已有区块链系统应用于数据共享领域指明需要进一步突破的技术瓶颈。
Blockchain system can build a trusted infrastructure for sharing data between multiple untrusted parties.However
directly uploading original shared data to blockchain is not suitable for large-scale data sharing scenarios.A data sharing architecture where data sharing request and response records are deposited on-chain and original data is transmitted securely off-chain was proposed.The architecture can alleviate the problems of system overload and privacy protection to a certain extent.Finally
with the increase of participating nodes and the data sharing requests and responses to be handled per second
the limitations in distributed storage
consensus protocol
smart contract execution
and query from light clients
directions for further research were proposed
in order to specify the technical bottlenecks that need to be further broken for the existing blockchain system applied to the field of data sharing.
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