Consensus transaction trajectory visualization tracking method for Fabric based on custom logs

doi:10.11772/j.issn.1001-9081.2021111935

Journal of Computer Applications ›› 2022, Vol. 42 ›› Issue (11): 3421-3428.DOI: 10.11772/j.issn.1001-9081.2021111935

Special Issue: 2021 CCF中国区块链技术大会（CCF CBCC 2021）

• 2021 CCF China Blockchain Conference （CCF CBCC 2021） • Previous Articles Next Articles

Consensus transaction trajectory visualization tracking method for Fabric based on custom logs

Shanshan LI¹^,², Yanze WANG¹^,², Yinglong ZOU¹^,², Huanlei CHEN³, He ZHANG¹^,²(), Ou WU¹^,²

^1.Software Institute，Nanjing University，Nanjing Jiangsu 210023，China
^2.State Key Laboratory for Novel Software Technology （Nanjing University），Nanjing Jiangsu 210023，China
^3.Agricultural Bank of China Guangzhou R&D Center，Guangzhou Guangdong 511400，China

Received:2021-11-14 Revised:2022-01-21 Accepted:2022-02-28 Online:2022-05-07 Published:2022-11-10
Contact: He ZHANG
About author:LI Shanshan， born in 1990， Ph. D.， assistant research fellow. Her research interests include microservice architecture， blockchain， software engineering.
WANG Yanze， born in 1998， M. S. candidate. His research interests include blockchain.
ZOU Yinglong， born in 2000. His research interests include blockchain.
CHEN Huanlei， born in 1994， M. S. candidate. His research interests include blockchain.
ZHANG He， born in 1970， Ph. D.， professor. His research interests include software engineering， service‑oriented computing， big data， blockchain.
WU Ou， born in 1981， M. S.， lecturer. Her research interests include blockchain， queuing theory.
Supported by:
National Key Research and Development Program of China(2019YFE0105500);National Natural Science Foundation of China(62072227);Key Research and Development Program of Jiangsu Province(BE2021002);Intergovernmental Bilateral Innovation Project of Jiangsu Province(BZ2020017);Jiangsu Scientific Research and Innovation Program(KYCX_21_0061);Research Council of Norway(309494)

基于自定义日志的Fabric的共识交易轨迹可视化追踪方法

李杉杉¹^,², 王岩泽¹^,², 邹英龙¹^,², 陈焕雷³, 张贺¹^,²(), 吴欧¹^,²

^1.南京大学软件学院, 南京 210023
^2.计算机软件新技术国家重点实验室(南京大学), 南京 210023
^3.中国农业银行研发中心, 广州 511400

通讯作者: 张贺
作者简介:李杉杉（1990—），女，山东平度人，助理研究员，博士，CCF会员，主要研究方向：微服务架构、区块链、软件工程
王岩泽（1998—），男，山西太原人，硕士研究生，CCF会员，主要研究方向：区块链
邹英龙（2000—），男，黑龙江哈尔滨人，主要研究方向：区块链
陈焕雷（1994—），男，海南海口人，硕士研究生，主要研究方向：区块链
张贺（1970—），男，天津人，教授，博士，CCF会员，主要研究方向：软件工程、面向服务计算、大数据、区块链 hezhang@nju.edu.cn
吴欧（1981—），女，辽宁新民人，讲师，硕士，主要研究方向：区块链、排队论。
基金资助:
国家重点研发计划项目(2019YFE0105500);国家自然科学基金资助项目(62072227);江苏省重点研发计划项目(BE2021002);江苏省政府间双边创新项目(BZ2020017);江苏省科研创新计划项目(KYCX_21_0061);挪威研究理事会项目(309494)

Abstract

Abstract:

Concerning that the federated chain lacks visualization methods to show the resource usage， health status， mutual relationship and consensus transaction process of each node， a Fabric consensus transaction Tracking method based on custom Log （FTL） was proposed. Firstly， Hyperledger Fabric， a typical federation framework， was used as the infrastructure to build the bottom layer of FTL. Then， the custom consensus transaction logs of the Fabric were collected and parsed by using the ELK （Elasticsearch， Logstash， Kibana） tool chain， and Spring Boot was used as the business logic processing framework. Finally， Graphin which focuses on graph analysis was utilized to realize the visualization of consensus trade trajectory. Experimental results show that compared with native Fabric applications， FTL Fabric?based application framework only experienced an 8.8% average performance decline after the implementation of visual tracking basis without significant latency， which can provide a more intelligent blockchain supervision solution for regulators.

Key words: Hyperledger Fabric, blockchain, supervision, consensus transaction, tracking, log

摘要：

联盟链缺少展示各个节点资源使用情况、健康状态、互相关系、共识交易流程等方面的可视化方法，为此提出一种基于自定义日志的Fabric共识交易轨迹追踪方法（FTL）。首先，以典型联盟链框架Hyperledger Fabric为基础设施实现区块链底层构建；然后，利用ELK工具链收集与解析Fabric的自定义共识交易日志，并利用Spring Boot作为业务逻辑处理框架；最后，采用专注于图分析领域的Graphin实现共识交易轨迹的可视化。实验结果表明，与原生Fabric应用相比，基于FTL的Fabric的应用框架在实现可视化追踪基础后，平均性能仅下降了8.8%，未造成显著延迟，可以为监管方提供更加智能的区块链监管方案。

关键词: Hyperledger Fabric, 区块链, 监管, 共识交易, 追踪, 日志

CLC Number:

TP391

Shanshan LI, Yanze WANG, Yinglong ZOU, Huanlei CHEN, He ZHANG, Ou WU. Consensus transaction trajectory visualization tracking method for Fabric based on custom logs[J]. Journal of Computer Applications, 2022, 42(11): 3421-3428.

李杉杉, 王岩泽, 邹英龙, 陈焕雷, 张贺, 吴欧. 基于自定义日志的Fabric的共识交易轨迹可视化追踪方法[J]. 《计算机应用》唯一官方网站, 2022, 42(11): 3421-3428.

Figures/Tables 13

References 24

1	NAKAMOTO S. Bitcoin： a peertopeer electronic cash system［EB/OL］. （2008-11-31）［2022-01-07］. . 10.2139/ssrn.3065723
2	KHETTRY A R， PATIL K R， BASAVARAJU A C. A detailed review on blockchain and its applications［J］. SN Computer Science， 2021， 2（1）： 30. 10.1007/s42979-020-00366-x
3	GHOSH A， GUPTA S， DUA A， et al. Security of cryptocurrencies in blockchain technology： stateofart， challenges and future prospects［J］. Journal of Network and Computer Applications， 2020， 163： 102635. 10.1016/j.jnca.2020.102635
4	LUND E H， JACCHERI L， LI J， et al. Blockchain and sustainability： a systematic mapping study［C］// Proceedings of the 2019 IEEE/ACM 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain. Piscataway： IEEE， 2019： 16-23. 10.1109/wetseb.2019.00009
5	POURNADER M， SHI Y， SEURING S， et al. Blockchain applications in supply chains， transport and logistics： a systematic review of the literature［J］. International Journal of Production Research， 2020， 58（7）： 2063-2081. 10.1080/00207543.2019.1650976
6	HAN M， LI Z， HE J S， et al. A novel blockchainbased education records verification solution［C］// Proceedings of the 19th Annual SIG Conference on Information Technology Education. New York： ACM， 2018： 178-183. 10.1145/3241815.3241870
7	NARIKIMILLI N R S， KUMAR A， ANTU A D， et al. Blockchain applications in healthcare — a review and future perspective［C］// Proceedings of the 2020 International Conference on Blockchain. Cham： Springer. 2020： 198-218. 10.1007/978-3-030-59638-5_14
8	邹萍，李艳东，王肖，等. 区块链监管的现状与展望［J］. 网络空间安全， 2019， 10（6）： 51-56.
	ZOU P， LI Y D， WANG X， et al.The status quo and future trends of blockchain regulation［J］.Cyberspace Security，2019， 10（6）： 51-56.
9	QAYYUM A， QADIR J， JANJUA M U， et al. Using blockchain to rein in the new post‑truth world and check the spread of fake news［J］. IT Professional， 2019， 21（4）： 16-24. 10.1109/mitp.2019.2910503
10	IQBAL M， MATULEVIČIUS R. Blockchainbased application security risks： A systematic literature review［C］// Proceedings of the 2019 International Conference on Advanced Information Systems Engineering. Cham： Springer， 2019： 176-188. 10.1007/978-3-030-20948-3_16
11	TAYLO P J， DARGAHI T， DEHGHANTANHA A， et al. A systematic literature review of blockchain cyber security［J］. Digital Communications and Networks， 2020， 6（2）： 147-156. 10.1016/j.dcan.2019.01.005
12	洪学海，汪洋，廖方宇. 区块链安全监管技术研究综述［J］. 中国科学基金， 2020，34（1）： 18-24. 10.16262/j.cnki.1000-8217.20200313.005
	HONG X H， WANG Y， LIAO F Y. Review on the Technology Research of Blockchain Security Supervision［J］. Bulletin of National Natural Science Foundation of China， 2020， 34（1）： 18-24. 10.16262/j.cnki.1000-8217.20200313.005
13	袁勇，王飞跃. 区块链技术发展现状与展望［J］. 自动化学报， 2016， 42（4）： 481-494. 10.16383/j.aas.2016.c160158
	YUAN Y， WANG F Y. Blockchain： the state of the art and future trends［J］.Acta Automatica Sinica， 2016， 42（4）： 481-494. 10.16383/j.aas.2016.c160158
14	郭上铜，王瑞锦，张凤荔.区块链技术原理与应用综述［J］.计算机科学，2021，48（2）：271-281. 10.11896/jsjkx.200800021
	GUO S T， WANG R J， ZHANG F L. Summary of principle and application of blockchain［J］. Computer Science， 2021， 48（2）： 271-281. 10.11896/jsjkx.200800021
15	LIN I C， LIAO T C. A survey of blockchain security issues and challenges［J］. International Journal of Network Security， 2017， 19（5）： 653-659.
16	KAUR G， GANDHI C. Scalability in blockchain： challenges and solutions［M］// Handbook of Research on Blockchain Technology. Pittsburgh： Academic Press， 2020： 373-406. 10.1016/b978-0-12-819816-2.00015-0
17	邵奇峰，张召，朱燕超，等.企业级区块链技术综述［J］. 软件学报， 2019， 30（9）： 2571– 2592.
	SHAO Q F， ZHANG Z， ZHU Y C， et al. Survey of enterprise blockchains［J］. Journal of Software，2019， 30（9）： 2571-2592.
18	YANG C‑T， KRISTIANI E， WANG Y‑T， et al. On construction of a network log management system using ELK Stack with Ceph ［J］. The Journal of Supercomputing， 2020， 76（8）： 6344-6360. 10.1007/s11227-019-02853-2
19	SHAH J， DUBARIA D. Building modern clouds： using Docker， Kubernetes & Google cloud platform［C］// Proceedings of the 2019 IEEE 9th Annual Computing and Communication Workshop and Conference. Piscataway： IEEE. 2019： 0184 - 0189. 10.1109/ccwc.2019.8666479
20	KO K， LEE C， JEONG T， et al. Design of RPCbased blockchain monitoring agent［C］// Proceedings of the 2018 International Conference on Information and Communication Technology Convergence. Piscataway： IEEE， 2018： 1090-1095. 10.1109/ictc.2018.8539456
21	LEE C， KIM H， MAHARJAN S， et al. Blockchain explorer based on RPCbased monitoring system［C］// Proceedings of the 2019 IEEE International Conference on Blockchain and Cryptocurrency. Piscataway： IEEE， 2019： 117-119. 10.1109/bloc.2019.8751468
22	ZHENG P， ZHENG Z， LUO X， et al. A detailed and realtime performance monitoring framework for blockchain systems［C］// Proceedings of the 2018 IEEE/ACM 40th International Conference on Software Engineering： Software Engineering in Practice Track. New York： ACM， 2018： 134-143. 10.1145/3183519.3183546
23	KANGA D B， AZZOUAZI M， GHOUMRARI M Y EL， et al. Management and monitoring of blockchain systems ［J］. Procedia Computer Science， 2020， 177： 605-612. 10.1016/j.procs.2020.10.086
24	HELEBRANDT P， BELLUS M， RIES M， et al. Blockchain adoption for monitoring and management of enterprise networks ［C］// Proceedings of the 2018 IEEE 9th Annual Information Technology， Electronics and Mobile Communication Conference. Piscataway： IEEE， 2018： 1221-1225. 10.1109/iemcon.2018.8614960

字段	字段说明	示例
log_type	标识位，为了区分 Fabric 原有的日志	for_trace_log
trace_txid	交易 ID	6645e8d225b40f29769b
trace_channelid	通道 ID	mychannel
source_ip	发送方信息	172.20.0.1：36444
dest_ip	接收方信息	orderer.example.com
event_type	事件类型，判断共识交易处于哪个环节中	broadcast

字段	字段说明	示例
log_type	标识位，为了区分 Fabric 原有的日志	for_trace_log
trace_txid	交易 ID	6645e8d225b40f29769b
trace_channelid	通道 ID	mychannel
source_ip	发送方信息	172.20.0.1：36444
dest_ip	接收方信息	orderer.example.com
event_type	事件类型，判断共识交易处于哪个环节中	broadcast

组件	版本信息
Filebeat	docker.elastic.co/beats/filebeat：7.10.2
Logstash	docker.elastic.co/logstash/logstash：7.10.2
Elasticsearch	docker.elastic.co/elasticsearch/elasticsearch：7.10.2
Prometheus	prom/prometheus：v2.25.1
Grafana	grafana/grafana：7.4.3
Spring Boot	2.4.2
Ant Design Pro	4.5.0
Graphin	2.0.1

组件	版本信息
Filebeat	docker.elastic.co/beats/filebeat：7.10.2
Logstash	docker.elastic.co/logstash/logstash：7.10.2
Elasticsearch	docker.elastic.co/elasticsearch/elasticsearch：7.10.2
Prometheus	prom/prometheus：v2.25.1
Grafana	grafana/grafana：7.4.3
Spring Boot	2.4.2
Ant Design Pro	4.5.0
Graphin	2.0.1

环境项	说明	环境项	说明
虚拟机	VMware Workstation 14 Pro	Docker 版本	19.03.12
操作系统	CentOS 7	Fabric 版本	2.3.0
内存	6G	Tape 版本	0.1.1
CPU	2 核

Consensus transaction trajectory visualization tracking method for Fabric based on custom logs

基于自定义日志的Fabric的共识交易轨迹可视化追踪方法

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