Abstract
In the era of big data, distributed cloud storage platforms are widely used to store massive amounts of data and information. Compared with traditional storage methods, distributed cloud storage platforms can provide flexible storage space to ensure the security and speed of platform operating data. This article uses computer network technology to design a distributed cloud storage platform, test platform file upload and download time and user login platform success rate to verify the reliability of platform operation, and realize the feasibility of user login function module operation, I hope this article distributed cloud storage platform can help people process data efficiently and realize the safe preservation of data and information.
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Khan, S., Shakil, K.A., Alam, M.: Cloud based big data analytics: a survey of current research and future directions. Comput. Sci. 03(5), 107–117 (2018)
Shorfuzzaman, M., Masud, M.: Leveraging a multi-objective approach to data replication in cloud computing environment to support big data applications. Int. J. Adv. Comput. Sci. Appl. 10(3), 418–429 (2019)
Sharma, E.: A framework of big data as service platform for access control & privacy protection using blockchain network. Turkish J. Comput. Math. Educ. (TURCOMAT) 12(11), 476–485 (2021)
Shah, S., Wu, W., Lu, Q., et al.: AmoebaNet: an SDN-enabled network service for big data science. J. Netw. Comput. Appl. 119(OCT.), 70–82 (2018)
Barenji, A.V., Huang, G.Q.: Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform. Robot. Comput.-Integr. Manuf. 54(DEC.), 133–144 (2018)
Al Omar, A., Bhuiyan, M.Z.A., Basu, A., et al.: Privacy-friendly platform for healthcare data in cloud based on blockchain environment. Future Gener. Comput. Syst. 95C(JUN.), 511–521 (2019)
Zegzhda, D.P., Moskvin, D.A., Myasnikov, A.V.: Assurance of cyber resistance of the distributed data storage systems using the blockchain technology. Autom. Control. Comput. Sci. 52(8), 1111–1116 (2018). https://doi.org/10.3103/S0146411618080400
Ariffin, M.: Data leakage detection in cloud computing platform. Int. J. Adv. Trends Comput. Sci. Eng. 8(1.3), 400–408 (2019)
Kumar, M.: Scalable malware detection system using big data and distributed machine learning approach. Soft. Comput. 26(8), 3987–4003 (2021). https://doi.org/10.1007/s00500-021-06492-9
Patel, Y.S., Jaiswal, R., Misra, R.: Deep learning-based multivariate resource utilization prediction for hotspots and coldspots mitigation in green cloud data centers. J. Supercomput. 78(4), 5806–5855 (2021). https://doi.org/10.1007/s11227-021-04107-6
Wilkinson, L.: Visualizing big data outliers through distributed aggregation. IEEE Trans. Vis. Comput. Graph. 24, 256–266 (2018)
Singh, A., Garg, S., Kaur, K., et al.: Fuzzy-folded bloom filter-as-a-service for big data storage in the cloud. IEEE Trans. Industr. Inf. 15(4), 2338–2348 (2019)
Marchiori, M.: Learning the way to the cloud: big data park. Concurr. Comput. Pract. Exp. 31(2), e4234.1–e4234.17 (2019)
Mittal, S., Rakesh, N., Matam, R., et al.: An optimal storage and repair mechanism for group repair code in a distributed storage environment. Intell. Decis. Technol. 12(4), 1–11 (2018)
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Xu, Y., Wang, Y., Wan, B., Khan, A.U. (2023). Computer Network Technology in Big Data Distributed Cloud Storage Platform. In: Abawajy, J.H., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022). ICATCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-031-29097-8_33
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DOI: https://doi.org/10.1007/978-3-031-29097-8_33
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