Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective
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 blockc...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/12/3358 |
| _version_ | 1797565460672151552 |
|---|---|
| author | Sergey Smetanin Aleksandr Ometov Mikhail Komarov Pavel Masek Yevgeni Koucheryavy |
| author_facet | Sergey Smetanin Aleksandr Ometov Mikhail Komarov Pavel Masek Yevgeni Koucheryavy |
| author_sort | Sergey Smetanin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:12:31Z |
| format | Article |
| id | doaj.art-d97a8f3d3c35492fa7d3555c0c8b18ac |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:12:31Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d97a8f3d3c35492fa7d3555c0c8b18ac2023-11-20T03:42:44ZengMDPI AGSensors1424-82202020-06-012012335810.3390/s20123358Blockchain Evaluation Approaches: State-of-the-Art and Future PerspectiveSergey Smetanin0Aleksandr Ometov1Mikhail Komarov2Pavel Masek3Yevgeni Koucheryavy4National Research University Higher School of Economics, 101000 Moscow, RussiaTampere University, FI-33720 Tampere, FinlandNational Research University Higher School of Economics, 101000 Moscow, RussiaBrno University of Technology, 61600 Brno, Czech RepublicNational Research University Higher School of Economics, 101000 Moscow, RussiaThe 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.https://www.mdpi.com/1424-8220/20/12/3358blockchainmodelingsimulationemulationreview |
| spellingShingle | Sergey Smetanin Aleksandr Ometov Mikhail Komarov Pavel Masek Yevgeni Koucheryavy Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective Sensors blockchain modeling simulation emulation review |
| title | Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective |
| title_full | Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective |
| title_fullStr | Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective |
| title_full_unstemmed | Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective |
| title_short | Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective |
| title_sort | blockchain evaluation approaches state of the art and future perspective |
| topic | blockchain modeling simulation emulation review |
| url | https://www.mdpi.com/1424-8220/20/12/3358 |
| work_keys_str_mv | AT sergeysmetanin blockchainevaluationapproachesstateoftheartandfutureperspective AT aleksandrometov blockchainevaluationapproachesstateoftheartandfutureperspective AT mikhailkomarov blockchainevaluationapproachesstateoftheartandfutureperspective AT pavelmasek blockchainevaluationapproachesstateoftheartandfutureperspective AT yevgenikoucheryavy blockchainevaluationapproachesstateoftheartandfutureperspective |