TY - GEN
T1 - Performance perspective on private distributed ledger technologies for industrial networks
AU - Geyer, Fabien
AU - Kinkelin, Holger
AU - Leppelsack, Hendrik
AU - Liebald, Stefan
AU - Scholz, Dominik
AU - Carle, Georg
AU - Schupke, Dominic
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - Blockchain-based Distributed Ledger Technology (DLT) is a novel paradigm to create tamper-resistant execution environments and data storage for distributed applications on top of a peer-to-peer network. This technology has shown to be of interest in many use-cases, especially in industrial processes where multiple shareholders would like to process and share data in a secure and accountable way. In this work, we evaluate the performance of a DLT-based system via modeling and a quantitative performance evaluation, focusing on the impact of the underlying communication network. Our numerical evaluation is based on the Hyperledger Fabric DLT framework, its benchmarking tool Caliper, and a dedicated test bed, where network properties such as latency or packet loss can be artificially influenced. Our experiments show that the validation of the transactions in a DLT-based system is the main contributor in the transaction latency. We also demonstrate that the properties of the communication network can influence the performance largely, even in the case where only one of the participants in the DLT system has poor network access.
AB - Blockchain-based Distributed Ledger Technology (DLT) is a novel paradigm to create tamper-resistant execution environments and data storage for distributed applications on top of a peer-to-peer network. This technology has shown to be of interest in many use-cases, especially in industrial processes where multiple shareholders would like to process and share data in a secure and accountable way. In this work, we evaluate the performance of a DLT-based system via modeling and a quantitative performance evaluation, focusing on the impact of the underlying communication network. Our numerical evaluation is based on the Hyperledger Fabric DLT framework, its benchmarking tool Caliper, and a dedicated test bed, where network properties such as latency or packet loss can be artificially influenced. Our experiments show that the validation of the transactions in a DLT-based system is the main contributor in the transaction latency. We also demonstrate that the properties of the communication network can influence the performance largely, even in the case where only one of the participants in the DLT system has poor network access.
UR - http://www.scopus.com/inward/record.url?scp=85073877933&partnerID=8YFLogxK
U2 - 10.1109/NetSys.2019.8854512
DO - 10.1109/NetSys.2019.8854512
M3 - Conference contribution
AN - SCOPUS:85073877933
T3 - Proceedings of the 2019 International Conference on Networked Systems, NetSys 2019
BT - Proceedings of the 2019 International Conference on Networked Systems, NetSys 2019
A2 - Carle, Georg
A2 - Hossfeld, Tobias
A2 - Kellerer, Wolfgang
A2 - Ott, Jorg
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Networked Systems, NetSys 2019
Y2 - 18 March 2019 through 21 March 2019
ER -