Recently, the blockchain-as-a-service paradigm arose, and many works have evaluated the performance issues related to it. However, not as much has been done regarding Dependability attributes, which have ever been a crucial topic on service provisioning, let it be either public or private infrastructures. This paper presents the blockchain provisioning planning tool (BPPT), a framework to evaluate the availability, deployment, and maintenance costs of Hyperledger Fabric-based applications over private computational infrastructures. The BPPT uses continuous time markov chain (CTMC) and reliability block diagram (RBD) models as an evaluation method of Hyperledger Fabric’s environments and determines distributed applications’ deployment feasibility and endorsement policies related to the platform. We also present case studies that may help those interested in paradigm changes to decide whether they should migrate from old to new technology. Some of the obtained results pointed-out that the AND endorsement, which requires that all nodes sign the authenticity of a transaction, has the highest deployment and maintenance costs, as well as the lowest availability values due to operational requirements, already an OR endorsement, which needs that at least one available node signs the transaction, provides the best relationship between the evaluated metrics. The KooN endorsement (that requires that K out of N nodes signs a transaction authenticity) is a more general model that supports analyzing midterm configurations, besides the two extreme configurations, that is, to AND and OR arrangements.

最近，出现了区块链即服务范式，许多作品都评估了与之相关的性能问题。但是，关于可靠性属性的工作还很少，因为可靠性属性一直是服务供应的关键主题，因此无论是公共基础结构还是私有基础结构。本文介绍了区块链供应计划工具（BPPT），该框架用于评估私有计算基础架构上基于Hyperledger Fabric的应用程序的可用性，部署和维护成本。BPPT使用连续时间马尔可夫链（CTMC）和可靠性框图（RBD）模型作为Hyperledger Fabric环境的评估方法，并确定与平台相关的分布式应用程序的部署可行性和认可策略。我们还将介绍一些案例研究，这些案例研究可以帮助那些对范式更改感兴趣的人决定他们是否应该从旧技术过渡到新技术。一些获得的结果指出，AND背书要求所有节点都签署交易的真实性，由于操作要求，该背书具有最高的部署和维护成本以及最低的可用性值，而OR背书已经是OR背书，需要至少一个可用节点签署交易，从而在评估指标之间提供最佳关系。KooN背书（要求N个节点中的K个签署交易真实性）是一种更通用的模型，除了两个极端配置（即AND和OR安排）之外，还支持分析中期配置。