Factors that Impact Blockchain Scalability
- Peter Eklund,
- Roman Beck
- Deakin University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
The 11th International ACM Conference on Management of Digital EcoSystemsOriginal language
EnglishPublication milestones
- Published - 2019
Publication status
Published - 2019
Publisher
Association for Computing Machinery, United StatesPublication IDs
- Scopus: 85078705029
Host publication title
Proceedings of MEDES 2019Abstract
Blockchain systems (more precisely Distributed Ledger Technologies
(DLTs)) represent a different digital ecosystem compared with traditional computer systems. One major difference are the performance and scalability factors which will be discussed and analytically investigated in this paper. In
doing so, we provide guidance for defining a research agenda focusing on the investigation of the crucial role of scalability for DLT systems. System performance - measured in terms of (1) consensus response time (blockchain network latency or time to convergence/agreement); (2) number of transactions
per second or throughput, and (3) computing (and power) resources consumed - can be understood by considering the design dimensions of a DLT system, namely: (i) the type of DLT system needed from a requirements perspective
which in turn determines; (ii) the complexity of the consensus protocol used; (iii) the topography of the anticipated traffic flow on the network; (iv) the performance and complexity of the domain-specific language that implements
smart contracts; and (v) by the anticipated growth in size and complexity of the distributed ledger itself.
(DLTs)) represent a different digital ecosystem compared with traditional computer systems. One major difference are the performance and scalability factors which will be discussed and analytically investigated in this paper. In
doing so, we provide guidance for defining a research agenda focusing on the investigation of the crucial role of scalability for DLT systems. System performance - measured in terms of (1) consensus response time (blockchain network latency or time to convergence/agreement); (2) number of transactions
per second or throughput, and (3) computing (and power) resources consumed - can be understood by considering the design dimensions of a DLT system, namely: (i) the type of DLT system needed from a requirements perspective
which in turn determines; (ii) the complexity of the consensus protocol used; (iii) the topography of the anticipated traffic flow on the network; (iv) the performance and complexity of the domain-specific language that implements
smart contracts; and (v) by the anticipated growth in size and complexity of the distributed ledger itself.
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Accepted author manuscript, 2.86 MB
