Blockchain localization cloud computing big data application evaluation method
Blockchain technology is a widely used emerging technology. It can integrate cloud computing technology and big data to form a distributed cloud computing system, providing efficient services for local enterprises and governments. In addition, local cloud computing is also widely used, and there are...
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| Format: | Article |
| Language: | English |
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De Gruyter
2023-10-01
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| Series: | Open Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/comp-2023-0281 |
| _version_ | 1797663162533675008 |
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| author | Xu Lin |
| author_facet | Xu Lin |
| author_sort | Xu Lin |
| collection | DOAJ |
| description | Blockchain technology is a widely used emerging technology. It can integrate cloud computing technology and big data to form a distributed cloud computing system, providing efficient services for local enterprises and governments. In addition, local cloud computing is also widely used, and there are many big data in these applications. Blockchain and local cloud computing technology offers safe and reliable information exchange for data exchange and provides a practical method for analyzing big data. This article aims to study how to analyze and research the application analysis method of big data based on blockchain technology and improve the classical apriori algorithm (CAA). This article compares and analyzes the performance of CAA and improved apriori algorithm (IAA) in big data applications. When the number of key words in the query are 20 and 100, the result search time of the CAA are 1.08 and 9.24 s, respectively, and the IAA are 0.76 and 7.58 s, respectively. The result search cost of the CAA is 12.43 and 91.55 kB, respectively, and the IAA is 5.05 and 63.72 kB, respectively. It is not difficult to see that applying the IAA to the blockchain-based government data-sharing scheme had relatively excellent performance and was worth further promotion and application. |
| first_indexed | 2024-03-11T19:10:35Z |
| format | Article |
| id | doaj.art-d1cee39e468b45a998e22d6eb8ff01f1 |
| institution | Directory Open Access Journal |
| issn | 2299-1093 |
| language | English |
| last_indexed | 2024-03-11T19:10:35Z |
| publishDate | 2023-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Computer Science |
| spelling | doaj.art-d1cee39e468b45a998e22d6eb8ff01f12023-10-09T20:08:41ZengDe GruyterOpen Computer Science2299-10932023-10-01131pp. 324010.1515/comp-2023-0281Blockchain localization cloud computing big data application evaluation methodXu Lin0School of Teacher Education, Shangqiu Normal University, Shangqiu476000, Henan, ChinaBlockchain technology is a widely used emerging technology. It can integrate cloud computing technology and big data to form a distributed cloud computing system, providing efficient services for local enterprises and governments. In addition, local cloud computing is also widely used, and there are many big data in these applications. Blockchain and local cloud computing technology offers safe and reliable information exchange for data exchange and provides a practical method for analyzing big data. This article aims to study how to analyze and research the application analysis method of big data based on blockchain technology and improve the classical apriori algorithm (CAA). This article compares and analyzes the performance of CAA and improved apriori algorithm (IAA) in big data applications. When the number of key words in the query are 20 and 100, the result search time of the CAA are 1.08 and 9.24 s, respectively, and the IAA are 0.76 and 7.58 s, respectively. The result search cost of the CAA is 12.43 and 91.55 kB, respectively, and the IAA is 5.05 and 63.72 kB, respectively. It is not difficult to see that applying the IAA to the blockchain-based government data-sharing scheme had relatively excellent performance and was worth further promotion and application.https://doi.org/10.1515/comp-2023-0281apriori algorithmbig data applicationblockchain technologydata mininggovernment data securitylocalized cloud computing |
| spellingShingle | Xu Lin Blockchain localization cloud computing big data application evaluation method Open Computer Science apriori algorithm big data application blockchain technology data mining government data security localized cloud computing |
| title | Blockchain localization cloud computing big data application evaluation method |
| title_full | Blockchain localization cloud computing big data application evaluation method |
| title_fullStr | Blockchain localization cloud computing big data application evaluation method |
| title_full_unstemmed | Blockchain localization cloud computing big data application evaluation method |
| title_short | Blockchain localization cloud computing big data application evaluation method |
| title_sort | blockchain localization cloud computing big data application evaluation method |
| topic | apriori algorithm big data application blockchain technology data mining government data security localized cloud computing |
| url | https://doi.org/10.1515/comp-2023-0281 |
| work_keys_str_mv | AT xulin blockchainlocalizationcloudcomputingbigdataapplicationevaluationmethod |