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Lekana - Blockchain Based Archive Storage for Large-Scale Cloud Systems

机译:FIT - 大型云系统基于区块的存档存储

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Blockchain is a form of a distributed storage system that stores a chronological sequence of transactions in a tamper-evident manner. Due to the decentralized trust ecosystem in blockchain, various industries have adopted blockchain to build their applications. This paper presents a novel approach to building a blockchain-based document archive storage platform, "Lekana". The Lekana platform can be adopted by service providers that require frequent document operations, such as "Pageroonline", a cloud-based e-invoicing provider in Europe. With Lekana we introduce a novel approach to store an immutable hash chain of archived data which are owned by the customers in the blockchain. The proposed Lekana platform is built on top of Mystiko which is a highly scalable blockchain storage platform targeted for big data. We have integrated real-time data analytics and machine learning techniques into the Lekana platform by using the Mystiko-Ml machine learning service on Mystiko blockchain. By integrating the Lekana platform with blockchain technology, we have addressed major issues in most cloud-based, centralized storage platforms (e.g. lack of data privacy, lack of data immutability, lack of traceability and lack of data provenance). As a case study in the paper, we present how "Pageroonline" cloud-based e-invoicing provider stores their archived document data and archived document hash chain in the blockchain-based Lekana platform.
机译:BlockChain是一种分布式存储系统的形式,可以以篡改的方式存储按时间交易顺序。由于区块链中的分散信任生态系统,各种行业都采用区块链来构建其应用。本文介绍了构建基于区块的文档档案存储平台“Lekana”的新方法。 Lekana平台可以通过服务提供商采用,这些服务提供商需要频繁的文档操作,例如“PageLoonLine”,欧洲基于云的电子发票提供商。使用Lekana,我们介绍一种新颖的方法来存储由街区客户拥有的归档数据的不变哈希链。建议的lekana平台建立在MyStiko之上,这是一个可用于大数据的高度可扩展的区块链存储平台。我们通过在MyStiko区块链上使用Mystiko-ML机器学习服务将实时数据分析和机器学习技术集成到LEKANA平台中。通过将LEKANA平台与区块链技术集成,我们已经解决了大多数基于云的集中存储平台的主要问题(例如,缺乏数据隐私,缺乏数据不变性,缺乏可追溯性和缺乏数据出处)。作为本文的案例研究,我们介绍了“PageRoonLine”的云的电子发票提供商如何在基于区块链的lekana平台中存储其存档的文档数据和存档的文档哈希链。

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