基于区块链的多租户系统的平台架构

I. Weber, Q. Lu, An Binh Tran, Amit Deshmukh, Marek Górski, Markus Strazds
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引用次数: 39

摘要

区块链吸引了来自初创企业、企业和政府的广泛兴趣,以分散的方式构建下一代应用程序。与云平台类似,单个基于区块链的系统可能需要同时为多个租户服务。然而,基于区块链的多租户系统的设计在数据和性能隔离以及可扩展性方面对架构师具有挑战性。首先,租户必须不能读取其他租户的数据,具有更高工作负载的租户不应该影响其他租户的读/写性能。其次,基于多租户区块链的系统通常需要每个租户的可扩展性和租户数量的可扩展性。因此,在本文中,我们为基于多租户区块链的系统提出了一种可扩展的平台架构,以确保数据完整性,同时保持数据隐私和性能隔离。在提议的体系结构中,每个租户都有一个单独的许可bb0来维护他们自己的数据和智能合约。所有租户链都以最小化成本和负载开销的方式锚定在主链中。提议的架构已经在我们的行业合作伙伴Laava ID Pty Ltd (Laava)的概念验证原型中实现。我们以三种方式评估我们的提案:满足确定的需求,与设计方案进行定性比较,以及定量分析。评估结果表明,该架构能够实现数据完整性、性能隔离、数据保密性、配置灵活性、可用性、成本效率和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Platform Architecture for Multi-Tenant Blockchain-Based Systems
Blockchain has attracted a broad range of interests from start-ups, enterprises and governments to build next generation applications in a decentralized manner. Similar to cloud platforms, a single blockchain-based system may need to serve multiple tenants simultaneously. However, design of multi-tenant blockchain-based systems is challenging to architects in terms of data and performance isolation, as well as scalability. First, tenants must not be able to read other tenants' data and tenants with potentially higher workload should not affect read/write performance of other tenants. Second, multi-tenant blockchain-based systems usually require both scalability for each individual tenant and scalability with number of tenants. Therefore, in this paper, we propose a scalable platform architecture for multi-tenant blockchain-based systems to ensure data integrity while maintaining data privacy and performance isolation. In the proposed architecture, each tenant has an individual permissioned blockchain to maintain their own data and smart contracts. All tenant chains are anchored into a main chain, in a way that minimizes cost and load overheads. The proposed architecture has been implemented in a proof-of-concept prototype with our industry partner, Laava ID Pty Ltd (Laava). We evaluate our proposal in a three-fold way: fulfilment of the identified requirements, qualitative comparison with design alternatives, and quantitative analysis. The evaluation results show that the proposed architecture can achieve data integrity, performance isolation, data privacy, configuration flexibility, availability, cost efficiency and scalability.
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