Abstract
Cloud computing, as a new type of network service model, shares computer resources such as computing, data and storage in the all-round way, provides dynamic and scalable virtualization resources, and provides the good basic support platform for college education reform. Multimedia as an auxiliary means, the use of multimedia technology can make teaching methods rich and diverse. The construction of the multimedia resource library based on cloud computing technology is in line with the development direction of English teaching. Taking the development of mobile information technology and teaching reform as the opportunity, we have studied the core technology of cloud computing and cloud computing technology architecture, designed the structure of the multimedia resource library for English teaching, and proposed the practical application strategy of the multimedia resource library for English teaching, and actively promoted English teaching and research is undergoing the comprehensive transformation and upgrading towards modernization.
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References
Fabrizio, M., Loris, B.: Cloud computing for big data analysis. Appl. Sci. 12(20), 424–431 (2022)
Prachi, D., Mukund, K., Sanjay, N., Anil, N.: Taxonomy of load balancing practices in the cloud computing paradigm. Int. J. Inf. Retrieval Res. (IJIRR) 12(3), 1–15 (2022)
Nath, R., Nagaraju, A.: Genetic algorithm based on-arrival task scheduling on distributed computing platform. Int. J. Comput. Appl. 44(9), 887–896 (2022)
Kang, S., Lee, J.: Improving rendering speed of 3D geospatial data based on HTML5/WebGL using improved arithmetic operation speed. Int. J. Urban Sci. 23(3), 303–317 (2019)
Guzman, A.: Phase model of adopting cloud computing in the implementation of e-government. J. Res. Sci. Eng. 4(7), 78–84 (2022)
Rajeshwari, S., Singh, R., Mohan, M., Varun, B.: A multi-objective optimization scheduling method based on the genetic algorithm in cloud computing. Int. J. Cloud Appl. Comput. (IJCAC) 12(1), 1–21 (2022)
Murigi, G., Mutuku, M.: Security issues and challenges in cloud computing among public institutions in Africa. J. Bus. Manag. Sci. 10(3), 131–137 (2022)
Gaykar, R.S., Khanaa, V., Joshi, S.D.: Faulty node detection in HDFS using machine learning techniques. Revue d’Intelligence Artificielle 36(4), 553–560 (2022)
Santhana, M.V., Natarajan, V.: Efficient big data security analysis on HDFS based on combination of clustering and data perturbation algorithm using health care database. J. Intell. Fuzzy Syst. 43(3), 3355–3372 (2022)
Senthil, K.P., Nurul, B., Aboo, A.B.: Data integrity verification using HDFS framework in data flow material environment using cloud computing. Mater. Today Proc. 60(3), 1329–1333 (2022)
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Jiang, H. (2023). Construction of English Teaching Multimedia Resource Library Based on Cloud Computing Technology. In: Hung, J.C., Chang, JW., Pei, Y. (eds) Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence. IC 2023. Lecture Notes in Electrical Engineering, vol 1044. Springer, Singapore. https://doi.org/10.1007/978-981-99-2092-1_54
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DOI: https://doi.org/10.1007/978-981-99-2092-1_54
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