UCDM:电力区块链中以用户为中心的数据模型

Zhixing Lv, Hui Yu, Kai Kang, Teng Chang Li, Guo Li Du
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引用次数: 0

摘要

区块链作为一种创新的信息技术,结合了去中心化、不变性、数据来源和合同自动操作的优势,可以解决电力交易中单点故障、交易成本高、有效性低和数据潜在风险等问题。然而,在传统的电力区块链中,区块链中的功能组件的设计,如区块的数据结构,没有考虑到电力的实际特征,从而导致实际应用中的性能瓶颈。基于电力交易的业务特点,提出了联盟区块链中以用户为中心的数据模型UCDM,以实现高效的数据存储和快速的数据检索。所提出的UCDM是在考虑事务检索和分析需求的基础上设计的,从而支持并发数据请求和海量数据存储的需求。每个用户的ID将在区块链上独立形成自己的链。与传统的数据模型相比,大量的实验结果表明,所提出的UCDM具有更短的处理延迟、更高的吞吐量和更短的响应延迟,具有实用价值。此外,区块链网络的参与者在世界各地拥有独特的身份,这确保了交易过程中的高度安全性。此外,区块链网络的参与者在世界各地拥有独特的身份,这确保了交易过程中的高度安全性。
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UCDM: A User-Centric Data Model in Power Blockchain
As innovative information technology, blockchain has combined the advantages of decentralization, immutability, data provenance, and contract operation automatically, which can be used to solve the issues of single point failure, high trading cost, low effectiveness, and data potential risk in power trading. However, in the traditional power blockchain, the design of functional components in blockchain, such as the data structure of the block, does not take the actual features of power into account, thus leading to a performance bottleneck in practical application. Motivated by business characteristics of power trading, a user-centric data model UCDM in consortium blockchain is proposed to achieve efficient data storage and quick data retrieval. The proposed UCDM is designed by considering the requirements of transaction retrieval and analysis, thus supporting the requirements of concurrent data requests and mass data storage. The ID of each user will independently form its own chain over the blockchain. Compared with the traditional data model, the extensive experimental results demonstrate that the proposed UCDM has shorter processing delay, higher throughput, and shorter response latency, thus having practical value. Furthermore, the participant of the blockchain network has a unique identity over the world, which ensures high security during trading. Furthermore, the participant of the blockchain network has a unique identity over the world, which ensures high security during trading.
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来源期刊
Recent Advances in Computer Science and Communications
Recent Advances in Computer Science and Communications Computer Science-Computer Science (all)
CiteScore
2.50
自引率
0.00%
发文量
142
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