Facing to Latency of Hyperledger Fabric for Blockchain- Enabled IoT: Modeling and Analysis

被引:2
|
作者
Lee, Sungho [1 ]
Kim, Minsu [2 ]
Lee, Jemin [3 ,4 ]
Hsu, Ruei-Hau [5 ]
Kim, Min-Soo [6 ]
Quek, Tony Q. S. [7 ]
机构
[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul 03722, South Korea
[2] Virginia Tech, Bradley Dept Elect & Comp Engn, Wireless VT Grp, Blacksburg, VA 24061 USA
[3] Sungkyunkwan Univ SKKU, Dept Elect & Comp Engn, Suwon 16419, South Korea
[4] Yonsei Univ, Sch Elect & Elect Engn, Seoul 03722, South Korea
[5] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan
[6] Korea Adv Inst Sci & Technol KAIST, Sch Comp, Daejeon 34141, South Korea
[7] Singapore Univ Technol & Design, Informat Syst Technol & Design Pillar, Singapore 487372, Singapore
来源
IEEE NETWORK | 2023年 / 37卷 / 06期
基金
新加坡国家研究基金会;
关键词
SYSTEM; SECURE;
D O I
10.1109/MNET.120.2200064
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Hyperledger Fabric (HLF), one of the most popular permissioned blockchains, has recently received attention for blockchain-enabled Internet of Things (IoT). However, for IoT applications to handle time- sensitive data, the processing latency in HLF has emerged as a new challenge. In this article, therefore, we establish a practical HLF latency model for HLF-enabled IoT. We first discuss the structure and transaction flow of HLF-enabled IoT. After implementing real HLF, we capture the latencies that each transaction experiences and show that the total latency of HLF can be modeled as a Gamma distribution, which is validated by conducting a goodness-of-fit test (i.e., the Kolmogorov-Smirnov (KS) test). We also provide the parameter values of the modeled latency distribution for various HLF environments. Furthermore, we explore the impacts of three important HLF parameters including the average transaction generation rate, block size, and block-generation timeout on the HLF latency. As a result, this article provides design insights on minimizing the latency for HLF-enabled IoT.
引用
收藏
页码:232 / 239
页数:8
相关论文
共 40 条
  • [1] Latency performance modeling and analysis for hyperledger fabric blockchain network
    Xu, Xiaoqiong
    Sun, Gang
    Luo, Long
    Cao, Huilong
    Yu, Hongfang
    Vasilakos, Athanasios V.
    INFORMATION PROCESSING & MANAGEMENT, 2021, 58 (01)
  • [2] Latency performance modelling in hyperledger fabric blockchain: Challenges and directions with an IoT perspective
    Abang, Jummai Enare
    Takruri, Haifa
    Al-Zaidi, Rabab
    Al-Khalidi, Mohammed
    INTERNET OF THINGS, 2024, 26
  • [3] Performance Analysis of a Hyperledger Fabric Blockchain Framework: Throughput, Latency and Scalability
    Kuzlu, Murat
    Pipattanasomporn, Manisa
    Gurses, Levent
    Rahman, Saifur
    2019 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2019), 2019, : 536 - 540
  • [4] Hyperledger Fabric Blockchain as a Service for the IoT: Proof of Concept
    Pesic, Sasa
    Radovanovic, Milos
    Ivanovic, Mirjana
    Tosic, Milenko
    Ikovic, Ognjen
    Boskovic, Dragan
    MODEL AND DATA ENGINEERING, MEDI 2019, 2019, 11815 : 172 - 183
  • [5] Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Monitoring Networks
    Kim, Minsu
    Lee, Sungho
    Park, Chanwon
    Lee, Jemin
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [6] An Efficient Privacy and Anonymity Setup on Hyperledger Fabric for Blockchain-Enabled Internet of Things (IoT) Devices
    Saad, Muhammad
    Haidery, Saqib Ali
    Bhandari, Aavash
    Bhutta, Muhammad Raheel
    Park, Dong-Joo
    Chung, Tae-Sun
    ELECTRONICS, 2024, 13 (13)
  • [7] Authentication of Mobile IoT Devices using HyperLedger Fabric Blockchain
    Banoun, Nathalie
    Diarra, Nafissatou
    2021 EIGHTH INTERNATIONAL CONFERENCE ON SOFTWARE DEFINED SYSTEMS (SDS), 2021, : 126 - 131
  • [8] Performance Modeling of Hyperledger Fabric (Permissioned Blockchain Network)
    Sukhwani, Harish
    Wang, Nan
    Trivedi, Kishor S.
    Rindos, Andy
    2018 IEEE 17TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), 2018,
  • [9] Latency Analysis for Raft Consensus on Hyperledger Fabric
    Piao, Xuefeng
    Li, Mingxin
    Meng, Fanchao
    Song, Huihui
    BLOCKCHAIN AND TRUSTWORTHY SYSTEMS, BLOCKSYS 2022, 2022, 1679 : 165 - 176
  • [10] Hyperledger Fabric Blockchain: Chaincode Performance Analysis
    Foschini, Luca
    Gavagna, Andrea
    Martuscelli, Giuseppe
    Montananari, Rebecca
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,