基于混合存储区块链的商业环境评估查询效率提升方法

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Su Li, Junlu Wang, Wanting Ji, Ze Chen, Baoyan Song
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引用次数: 0

摘要

良好的营商环境对推动现代经济高质量发展起着至关重要的作用。为提升营商环境评价的公信力和效率,本文提出了一种基于混合存储区块链的营商环境评价查询效率提升方法。目前,大多数区块链系统将区块数据存储在键值数据库或文件系统中,语义描述简单。然而,这类系统的查询接口单一,支持的查询类型有限,存储开销大,导致性能低下。针对这些挑战,本文提出了一种基于混合存储区块链的查询效率提升方法。首先,数据存储在链上和链下相结合的混合数据存储架构中。此外,还为区块数据添加了关系语义,并设计了三种索引机制来加快数据访问速度。随后,根据适用于上述三种索引机制的查询类型,设计了相应的查询效率增强算法,进一步完善了查询处理。最后,在区块链上为轻客户端实现了综合认证查询,用户可以验证查询结果的合理性和完整性。在三个开放数据集上的实验结果表明,本文提出的方法显著降低了存储开销,缩短了三种不同查询类型的查询延迟,提高了检索性能和验证效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation

A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation

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.

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来源期刊
Knowledge and Information Systems
Knowledge and Information Systems 工程技术-计算机:人工智能
CiteScore
5.70
自引率
7.40%
发文量
152
审稿时长
7.2 months
期刊介绍: Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership.
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