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Issue title: Special Section: Applied Machine Learning and Management of Volatility, Uncertainty, Complexity & Ambiguity (V.U.C.A)
Guest editors: Srikanta Patnaik
Article type: Research Article
Authors: Chao, Maa; * | Pan, Young Hwanb | Zeng, ChuYaoc
Affiliations: [a] Department of Environment and Home Design, Ningbo University, Pan Tianshou School of Architecture and Art Design, Ningbo University, Ningbo, Zhejiang, China | [b] Department of Interaction Design, School of Techno Design, Kookmin University, Seoul, South Korea | [c] Department of Spatial Lifestyle Design, school of Techno Design, Kookmin University, Seoul, South Korea
Correspondence: [*] Corresponding author. Ma Chao, Department of Environment and Home Design, Ningbo University, Pan Tianshou School of Architecture and Art Design, Ningbo University, Ningbo, Zhejiang, China. E-mails: [email protected], [email protected]
Abstract: With the increasing amount of information on the Internet, data storage management tends to be distributed. In distributed storage environment, users pay more and more attention to the timeliness of user interaction experience and the reliability of information interaction. However, the efficiency of users is often limited by the efficiency of data communication between distributed sites. One of the important goals of distributed data management is to improve the efficiency of data transmission and ensure the reliability of data transmission. Block chain technology is one of the emerging technologies supporting the development of management information system; it provides a solution for the storage, verification, transmission and communication of the distributed data. This paper focuses on solving the problem of block chain data transmission, and studies it from three aspects: improving the efficiency of data communication, ensuring the reliability of transmission, and improving the fairness of service, and different block chain data communication performance optimization strategies are proposed under the constraints of node communication capability, node trust, weight, priority of service request and other influencing factors.
Keywords: Block chain, Communication technology, fuzzy system, intelligent interaction design, data transfer
DOI: 10.3233/JIFS-179942
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1685-1691, 2020
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