Cloud Computing to Tourism Economic Data Scheduling Algorithm under the Background of Image and Video

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 15
• Main Authors: Zhang, Heqing, Feng, Yilin, Wang, Leilei
• Format: Journal Article
• Language: English
• Published: United States Hindawi 21.07.2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Analysis; Antibodies; Approximation; Big Data; Cloud Computing; Completion time; Computer centers; Constraint modelling; Data processing; Economic aspects; Economic development; Economic indicators; Economic models; Efficiency; Internet; Middleware; Quality of service; Recombination; Response time; Scheduling; Software services; Tourism; Travel industry; Workshops
• ISSN: 1687-5265; 1687-5273; 1687-5273
• DOI: 10.1155/2022/3948221

With the rapid development of image video and tourism economy, tourism economic data are gradually becoming big data. Therefore, how to schedule between data has become a hot topic. This paper first summarizes the research results on image video, cloud computing, tourism economy, and data scheduling algorithms. Secondly, the origin, structure, development, and service types of cloud computing are expounded in detail. And in order to solve the problem of tourism economic data scheduling, this paper regards the completion time and cross-node transmission delay as the constraints of tourism economic data scheduling. The constraint model of data scheduling is established, the fitness function is improved on the basis of an artificial immune algorithm combined with the constraint model, and the directional recombination of excellent antibodies is carried out by using the advantages of gene recombination so as to obtain the optimal solution to the problem more appropriately. When the resource node scale is 100, the response time of EDSA is 107.92 seconds.