A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation.
Saved in:
| Title: | A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. |
|---|---|
| Authors: | Li, Su1 (AUTHOR), Wang, Junlu1 (AUTHOR), Ji, Wanting1 (AUTHOR), Chen, Ze1 (AUTHOR), Song, Baoyan1 (AUTHOR) bysong@lnu.edu.cn |
| Source: | Knowledge & Information Systems. Oct2024, Vol. 66 Issue 10, p6307-6335. 29p. |
| Subjects: | Kripke semantics, Business databases, Data warehousing, Algorithms, Storage |
| Abstract: | A favorable business environment plays a crucial role in facilitating the high-quality development of a modern economy. In order to enhance the credibility and efficiency of business environment evaluation, this paper proposes a hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. Currently, most blockchain systems store block data in key-value databases or file systems with simple semantic descriptions. However, such systems have a single query interface, limited supported query types, and high storage overhead, which leads to low performance. To tackle these challenges, this paper proposes a query efficiency enhancement method based on hybrid storage blockchain. Firstly, data are stored in a hybrid data storage architecture combining on-chain and off-chain. Additionally, relational semantics are added to block data, and three index mechanisms are designed to expedite data access. Subsequently, corresponding query efficiency enhancement algorithms are designed based on the query types that are applicable to the aforementioned three index mechanisms, further refining the query processing. Finally, a comprehensive authentication query is implemented on the blockchain for the light client, and the user can verify the soundness and integrity of the query results. Experimental results on three open datasets show that the method proposed in this paper significantly reduces storage overhead, has shorter query latency for three different query types, and improves retrieval performance and verification efficiency. [ABSTRACT FROM AUTHOR] |
| Copyright of Knowledge & Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 179815703 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Su%22">Li, Su</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Junlu%22">Wang, Junlu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ji%2C+Wanting%22">Ji, Wanting</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Ze%22">Chen, Ze</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Baoyan%22">Song, Baoyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bysong@lnu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Knowledge+%26+Information+Systems%22">Knowledge & Information Systems</searchLink>. Oct2024, Vol. 66 Issue 10, p6307-6335. 29p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Kripke+semantics%22">Kripke semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Business+databases%22">Business databases</searchLink><br /><searchLink fieldCode="DE" term="%22Data+warehousing%22">Data warehousing</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Storage%22">Storage</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A favorable business environment plays a crucial role in facilitating the high-quality development of a modern economy. In order to enhance the credibility and efficiency of business environment evaluation, this paper proposes a hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. Currently, most blockchain systems store block data in key-value databases or file systems with simple semantic descriptions. However, such systems have a single query interface, limited supported query types, and high storage overhead, which leads to low performance. To tackle these challenges, this paper proposes a query efficiency enhancement method based on hybrid storage blockchain. Firstly, data are stored in a hybrid data storage architecture combining on-chain and off-chain. Additionally, relational semantics are added to block data, and three index mechanisms are designed to expedite data access. Subsequently, corresponding query efficiency enhancement algorithms are designed based on the query types that are applicable to the aforementioned three index mechanisms, further refining the query processing. Finally, a comprehensive authentication query is implemented on the blockchain for the light client, and the user can verify the soundness and integrity of the query results. Experimental results on three open datasets show that the method proposed in this paper significantly reduces storage overhead, has shorter query latency for three different query types, and improves retrieval performance and verification efficiency. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Knowledge & Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=179815703 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10115-024-02144-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 6307 Subjects: – SubjectFull: Kripke semantics Type: general – SubjectFull: Business databases Type: general – SubjectFull: Data warehousing Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Storage Type: general Titles: – TitleFull: A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Su – PersonEntity: Name: NameFull: Wang, Junlu – PersonEntity: Name: NameFull: Ji, Wanting – PersonEntity: Name: NameFull: Chen, Ze – PersonEntity: Name: NameFull: Song, Baoyan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 02191377 Numbering: – Type: volume Value: 66 – Type: issue Value: 10 Titles: – TitleFull: Knowledge & Information Systems Type: main |
| ResultId | 1 |
