Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations
By design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this low-level data and complex interfacing to pro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/1/33 |
| _version_ | 1797442235872051200 |
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| author | Leny Vinceslas Safak Dogan Srikumar Sundareshwar Ahmet M. Kondoz |
| author_facet | Leny Vinceslas Safak Dogan Srikumar Sundareshwar Ahmet M. Kondoz |
| author_sort | Leny Vinceslas |
| collection | DOAJ |
| description | By design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this low-level data and complex interfacing to provide an enriched level of analytics. The ability to derive richer analytics could be improved through the availability of a higher level abstraction of the data. This article proposes an abstraction layer architecture that enables the design of high-level analytics of distributed ledger systems and the decentralized applications that run on top. Based on the analysis of existing initiatives and identification of the relevant user requirements, this work aims to establish key insights and specifications to improve the auditability and intuitiveness of distributed ledger systems by leveraging the development of future user interfaces. To illustrate the benefits offered by the proposed abstraction layer architecture, a regulated sector use case is explored. |
| first_indexed | 2024-03-09T12:38:53Z |
| format | Article |
| id | doaj.art-71d3f1f935f449bcbda08e9d51dace76 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-09T12:38:53Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-71d3f1f935f449bcbda08e9d51dace762023-11-30T22:20:49ZengMDPI AGFuture Internet1999-59032023-01-011513310.3390/fi15010033Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and VisualizationsLeny Vinceslas0Safak Dogan1Srikumar Sundareshwar2Ahmet M. Kondoz3Institute for Digital Technologies, Loughborough University London, London E20 3BS, UKInstitute for Digital Technologies, Loughborough University London, London E20 3BS, UKRegulAItion Ltd., Belmont Business Centre, Lewes BN8 6QL, UKInstitute for Digital Technologies, Loughborough University London, London E20 3BS, UKBy design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this low-level data and complex interfacing to provide an enriched level of analytics. The ability to derive richer analytics could be improved through the availability of a higher level abstraction of the data. This article proposes an abstraction layer architecture that enables the design of high-level analytics of distributed ledger systems and the decentralized applications that run on top. Based on the analysis of existing initiatives and identification of the relevant user requirements, this work aims to establish key insights and specifications to improve the auditability and intuitiveness of distributed ledger systems by leveraging the development of future user interfaces. To illustrate the benefits offered by the proposed abstraction layer architecture, a regulated sector use case is explored.https://www.mdpi.com/1999-5903/15/1/33distributed ledger technology (DLT)blockchainblock explorerhyperledger fabricabstraction layerinformation visualization |
| spellingShingle | Leny Vinceslas Safak Dogan Srikumar Sundareshwar Ahmet M. Kondoz Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations Future Internet distributed ledger technology (DLT) blockchain block explorer hyperledger fabric abstraction layer information visualization |
| title | Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations |
| title_full | Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations |
| title_fullStr | Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations |
| title_full_unstemmed | Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations |
| title_short | Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations |
| title_sort | abstracting data in distributed ledger systems for higher level analytics and visualizations |
| topic | distributed ledger technology (DLT) blockchain block explorer hyperledger fabric abstraction layer information visualization |
| url | https://www.mdpi.com/1999-5903/15/1/33 |
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