使用区块链质量控制改进基于图的资产

R. T. Selvi, T. C. S. Lakshmi, D. Karunkuzhali, R. A. A. Rosaline
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引用次数: 0

摘要

区块链技术对物流和航运等不同部门的可追溯性产生了积极影响。这种创新的解决方案有助于通过组织之间的数据孤岛和权威整合问题建立一个分散和抗鼓的标题。然而,可替代代币的使用应该代表复杂的可追溯性操作;讨论了区块链上数字和实物商品投影的新模型。然而,在目前的令牌架构中,没有强大的模型来恢复历史。区块链探索者是核心的可信参与者,是提取代币过去信息的最常见手段。块的任何头都只能被天真地验证,但这需要花费很多时间。根据初步计算,恢复之前以太坊主网上的1030个令牌大约需要57分钟。该系统的挑战是消除对新区块链的竞争,同时节点开发可以更快地处理事务。可以提出一个有向无环图(DAG)令牌定义,它允许快速发现令牌历史,而无需查看整个区块链。该模型不时地连接任何令牌状态,并涵盖融合和分解等概念。实现和评估表明,在基于dag的令牌架构中,过渡历史分析的可靠性得到了重大增强。结果表明,1,030个代币的发现可以在几秒钟内完成,并且即使区块链扩展,该方法也能保持长期成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of Graph-Based Assets using Blockchain Quality Control
Traceability through different sectors including logistics and shipping has had a positive effect from blockchain technologies. This innovative solution helps establish a decentralized and drum-resistant headline through the question of data silos between organisms and authority consolidation. Nevertheless, the use of fungible tokens should represent complicated traceability operations; a new model for the projection of digital and physical goods on a blockchain is discussed. In the present token architecture, however, there is no powerful model to restore history. Blockchain explorers, which are central trustworthy actors, are the most common means for extracting past information on tokens. Any headers of the block can only be naively verified, but it takes a lot of time. According to preliminary calculations, restoring the previous 1,030 tokens on the Ethereum main net would take about 57 minutes. Challenge of this system is to eliminate competition for new chain blocks and Transactions may be handled quicker with simultaneous node development. It can be proposed that a directed acyclic graph (DAG) token definition which allows the token history to be quickly discovered, without looking at the entire blockchain. The model connects any token state from time to time and covers concepts like fusion and breakup. The implementation and assessment suggest the major enhancements to the reliability of the transitional history analysis in the DAG-based token architecture. The outcome demonstrates that the discovery of 1,030 tokens can be done in seconds and that the method maintains long-term success even though the block chain expands.
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