基于改进PBFT的在线旅游点评服务模型  

Online travel review service model based on improved PBFT

作　　者：史文帜 程永强 刘晓峰 陈泽华 SHI Wenzhi;CHENG Yongqiang;LIU Xiaofeng;CHEN Zehua(College of Information and Computer,Taiyuan University of Technology,Jinzhong 030600,China;College of Data Science,Taiyuan University of Technology,Jinzhong 030600,China)

机构地区：[1]太原理工大学信息与计算机学院,山西晋中030600 [2]太原理工大学大数据学院,山西晋中030600

出　　处：《电子设计工程》2024年第4期89-93,共5页Electronic Design Engineering

基　　金：山西省区块链产业规划与布局战略研究(2020SX7)。

摘　　要：基于传统旅游服务平台中存在的商家虚假评价、虚假宣传等问题,提出改进PBFT算法的在线旅游点评服务模型并采用超级账本(Hyperledger Fabric)开发模型。模型面向游客和商家两个用户角色,设计商家信息上链合约、用户点评合约和查询信息合约,建立商家与游客两者间的直接联系,从而提升用户旅游体验感,消除商家与游客之间的信任裂缝。通过提出基于PBFT改进的共识机制F-PBFT,优化一致性协议减少节点间通信时间,提高共识效率。实验结果表明,文中所提出的F-PBFT算法的平均共识时延降低了6%,平均吞吐量提升了5%,具有较好表现。Based on the problems of false evaluation and false propaganda of merchants in traditional tourism service platforms,an online tourism review service model with improved PBFT algorithm is proposed and Hyperledger Fabric is used to develop the model.The model is oriented to two user roles of tourists and merchants,the business information chain contract,user review contract and query information contract are designed to establish a direct connection between businesses and tourists,so as to improve users' tourism experience and eliminate the trust crack between businesses and tourists.By proposing an improved consensus mechanism F-PBFT based on PBFT,the consensus protocol is optimized to reduce the communication time between nodes and improve the consensus efficiency.The experimental results show that the average consensus delay of the proposed F-PBFT algorithm is reduced by 6%,and the average throughput is increased by 5%,which has better performance.

关 键 词：区块链 FABRIC 链码 点评 

分 类 号：TN918[电子电信—通信与信息系统]