Smart-Contract Based System Operations for Permissioned Blockchain

Tatsuya Sato, Yosuke Himura
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引用次数: 43

Abstract

Enterprises have paid attention to blockchain (BC), recently permissioned BC characterized with smart-contract, where busi-ness transactions among inter-authorized companies (forming consortium) can automatically be executed based on distributed consensus protocol over user-defined business logics pre-built with program codes. A single BC system will be built across mul-tiple management domains having different operational policies, e.g., datacenter of each organization; this will trigger a problem that its system operations (e.g., backup) will become time-consuming and costly due to the difficulty in unifying and/or adjusting operational policy, schedule, etc. Toward solving the problem, we propose an operations execution method for BC systems; a primary idea is to define operations as smart-contract so that unified and synchronized cross-organizational operations can be executed effectively by using BC-native features. We de-sign the proposed method as hybrid architecture including in-BC consensus establishment and out-BC event-based instruction execution, in order to be adaptable to the recent heterogeneous BC architecture. Performance evaluation using a prototype with Hyperledger Fabric v1.0 shows that the proposed method can start executing operations within 5 seconds. Furthermore, cost evaluation using model-based estimation shows that the total yearly cost of monthly operations on a 5-organizational BC sys-tem could be reduced by 61 percent compared to a conventional manual method.
基于智能合约的系统操作许可区块链
企业关注区块链(BC),最近被许可的BC具有智能合约的特征,其中跨授权公司(形成财团)之间的业务交易可以基于分布式共识协议自动执行,而用户定义的业务逻辑是预先用程序代码构建的。单个BC系统将跨多个具有不同操作策略的管理域构建,例如每个组织的数据中心;这将引发一个问题,即由于难以统一和/或调整操作策略、时间表等,其系统操作(例如备份)将变得耗时和昂贵。为了解决这个问题,我们提出了一种BC系统的操作执行方法;一个主要的想法是将操作定义为智能合约,以便通过使用bc本地功能有效地执行统一和同步的跨组织操作。我们将所提出的方法设计为混合架构,包括BC内共识建立和BC外基于事件的指令执行,以适应最近的异构BC架构。使用Hyperledger Fabric v1.0的原型进行性能评估表明,所提出的方法可以在5秒内开始执行操作。此外,使用基于模型的估算的成本评估表明,与传统的手动方法相比,5个组织的BC系统每月操作的年总成本可以减少61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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