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Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective
- Source :
- Sensors (Basel, Switzerland), SENSORS. 2020, vol. 20, issue 12, p. 1-20., Sensors, Vol 20, Iss 3358, p 3358 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI, 2020.
-
Abstract
- The present increase of attention toward blockchain-based systems is currently reaching a tipping point with the corporate focus shifting from exploring the technology potential to creating Distributed Ledger Technology (DLT)-based systems. In light of a significant number of already existing blockchain applications driven by the Internet of Things (IoT) evolution, the developers are still facing a lack of tools and instruments for appropriate and efficient performance evaluation and behavior observation of different blockchain architectures. This paper aims at providing a systematic review of current blockchain evaluation approaches and at identifying the corresponding utilization challenges and limitations. First, we outline the main metrics related to the blockchain evaluation. Second, we propose the blockchain modeling and analysis classification based on the critical literature review. Third, we extend the review with publicly accessible industrial tools. Next, we analyze the selected results for each of the proposed classes and outline the corresponding limitations. Finally, we identify current challenges of the blockchain analysis from the system evaluation perspective, as well as provide future perspectives. publishedVersion
- Subjects :
- blockchain
Blockchain
Computer science
emulation
02 engineering and technology
Review
lcsh:Chemical technology
Biochemistry
Analytical Chemistry
Distributed ledger
0202 electrical engineering, electronic engineering, information engineering
lcsh:TP1-1185
Emulation
Electrical and Electronic Engineering
Instrumentation
Future perspective
213 Electronic, automation and communications engineering, electronics
Modeling
020206 networking & telecommunications
modeling
simulation
Data science
Atomic and Molecular Physics, and Optics
Eeview
020201 artificial intelligence & image processing
State (computer science)
Simulation
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....b784982e76f0fac1b3e1cf1523a6fc7b