Affiliation:
1. School of Management, Yangtze Normal University, Chongqing, China
2. School of Geography and Tourism, Shaanxi Normal University, Xi’an, Shaanxi, China
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%.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference44 articles.
1. Risk-based traded demand response between consumers’ aggregator and retailer using downside risk constraints technique;Guo;IEEE Access,2020
2. Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises;Tsai;Ecological Chemistry and Engineering S,2019
3. Ppbac: Popularity Based Access Control Model for Cloud Computing;Namasudra;Journal of Organizational and End User Computing,2018
4. Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks;Fu;Reliability Engineering & System Safety,2020
5. Intelligent Security Planning for Regional Distributed Energy Internet;Lv;IEEE Transactions on Industrial Informatics,2020
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献