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Issue title: Meta-Heuristic Techniques for Solving Computational Engineering Problems: Challenges and New Research Directions
Guest editors: Suresh Chandra Satapathy, Rashmi Agrawal and Vicente García Díaz
Article type: Research Article
Authors: Tang, Guanghaia; b; * | Zeng, Huib
Affiliations: [a] School of Management, Yangtze Normal University, Chongqing, China | [b] School of Geography and Tourism, Shaanxi Normal University, Xi’an, Shaanxi, China
Correspondence: [*] Corresponding author. Guanghai Tang, School of Management, Yangtze Normal University, Chongqing 408100, China. E-mail: benben054@126.com.
Abstract: Cloud computing, as a product of the fusion and development of computer technology and Internet technology, not only realized the innovation of IT technology but also A major revolution in the IT business model will bring unprecedented and profound changes to the information industry. The main purpose of this article is to study the collaborative management and control method of blockchain in a cloud computing environment. This article mainly uses the blockchain consensus algorithm to analyze and research the blocking technology in the logistics supply chain, and solves the supplier’s benefit formula step by step; also uses the CloudBTF algorithm, Max-min algorithm, FCFS of cloud computing Algorithm, and compare the efficiency and security of the three methods to get the most conducive to the collaborative management and control of the blockchain. The experimental results of this paper show that blockchain collaborative management in a cloud computing environment can greatly improve the security of massive data storage and the collaborative distribution of data. Among them, the use of cloud computing platform priority algorithms can improve system load balancing by up to 12%, while Using the cloud computing platform FCFS algorithm can improve system load balancing by up to 15%.
Keywords: Cloud computing, blockchain control, collaborative management, control method, cloud BFT algorithm
DOI: 10.3233/JIFS-189436
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5963-5973, 2021
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