An Automated Customization and Performance Profiling Framework for Permissioned Blockchains in a Virtualized Environment

Abstract

The permissioned blockchains have demonstrated their potential to provide trustworthy and security services in various industrial scenarios, especially in the Cloud-based virtualized environments. To customize the configuration of a blockchain application, an operator needs the performance characteristics of a blockchain network in different Cloud environments. However, manually profiling the performance characteristics of a blockchain network is very time-consuming. Therefore, in this paper, we propose a BlockchaIn-infRAstructure CustomIzation and Auto-profiLing (BIRACIAL) framework to automate the whole process of blockchain deployment and performance profiling. Based on the profile and performance requirements of a blockchain application, the framework aims to plan the virtual infrastructure for permissioned blockchain, to automate the provision of the required infrastructure, to deploy the customized permissioned blockchain, and to enable continuous monitoring of blockchain performance. Our evaluation results show that the proposed framework can achieve automated deployment of different permissioned blockchain networks under certain overheads. The performance profiling results can be used to compare and select the appropriate blockchain platforms and consensus algorithms.

CBProf: Customisable Blockchain-as-a-Service Performance Profiler in Cloud Environments

“…However, the automation in this research is only about smart contracts. Research by Shi et al proposes a framework to automate the provision of required infrastructures and deploy Hyperledger Sawtooth [8]. We extend the research in this paper and provide a tool that supports more blockchain and is more user-friendly.…”

Building a blockchain-based decentralized ecosystem for cloud and edge computing: an ALLSTAR approach and empirical study

“…-Although different platforms implement their own consensus algorithms, the evaluation in this paper focuses on the comparison of different blockchain platforms and does not specifically discuss the comparison of consensus algorithms. In our previous research, we have demonstrated that there are some differences in the performance of different consensus algorithms under the same platform Shi et al (2019). However, we believe that the impact of consensus algorithms on performance is limited by the framework itself.…”